Seeing Quantum – Fractals, Music, and Emotional Resonance

http://Seeing%20Quantum%20–%20Fractals,%20Music,%20and%20Emotional%20Resonance

In this exceptional episode, we dive deep into the intersection of science and creativity as Wiktor Mazin showcases how quantum fractal art can help us visualize the abstract phenomena of quantum mechanics. You’ll hear how fractal mathematics and quantum state vectors come together to create mesmerizing patterns, making the invisible beauty of quantum physics tangible and relatable.

From snowy Baltimore anecdotes to discussions about coastlines and Romanesco broccoli, the team explores how fractals—both in nature and mathematics—reflect the underlying complexity and elegance of the quantum world. We also see how quantum-generated randomness can influence color choices, and how music and poetry are woven into the fabric of fractal art for a truly multi-sensory experience.

Whether you’re a scientist, artist, or simply curious, this episode promises to break the mold by blending visual learning, emotion, and aesthetics into one mind-expanding mixdown. Be sure to check out the visuals (and funky glasses!) on YouTube, because this is truly an episode that must be seen and heard.

Links

  1. Watch on YouTube – https://www.youtube.com/watch?v=BiJW419ItPc
  2. Wiktor’s Instagram – https://www.instagram.com/wiktormazin_quantum_art/

Time Stamps

00:00 “Art: A Universal Human Trait”

03:31 “Understanding Vectors and Bloch Spheres”

07:03 “Quantum Fractals: Math Meets Art”

12:22 Quantum Complexity and One Constant

15:23 “Fractal Math and Bloch Sphere”

18:40 “Beauty in Quantum Imperfection”

21:56 “Quantum-Generated Fractals and Colors”

24:34 “Connecting Quantum to Nature”

27:54 Quantum Bird Navigates Balance

34:38 “Quantum Fractals and Coherence”

37:47 “80s PBS Math Lectures”

39:01 “Quantum States Through Creative Expression”

46:24 “Echoes from the Quantum”

51:00 “Quantum Arts and Complexity”

55:24 “Infinity: Art Meets Quantum Fractals”

56:53 “QR Code & Chaos Upstairs”

Transcript
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This is probably the most visually and auditory stunning

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version of our episode that we've ever done. Uh,

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absolutely. This has to be— this has to be seen. Yeah, yeah, seriously, like,

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if you're listening to this, you're missing a lot of the, the

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feel. Welcome to Impact Quantum.

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Hello and welcome to Impact Quantum, the podcast where we explore the emerging

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industry of quantum computing. And, um, you don't need

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to be a PhD, you just need to be a little bit curious.

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And with me on this journey is the most quantum curious person I know,

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Candice Gooley. How's it going, Candice? It's great, thank you for

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asking. I'm really excited. We have something different for today.

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Yes, and very cool. It's going to be very cool.

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We have, we have a gentleman by the name of, of Victor Mason. He's

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a PhD. He is a pioneer of

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quantum fractal art, and we're going to learn more

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about that today. So hi, how are you? How are you doing

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today? I'm good, thank you. Been looking forward to this. Thank

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you for having me here today. And how are you guys doing? Doing

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well, doing well. We, we just got a foot of snow, and, uh,

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down here in Baltimore, and we're not used to that like they

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are up in Montreal. And my grandfather was from Montreal, so

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whenever we got snow, he'd be like, "Ah, this is like a spring day."

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So, um, but, um, with that

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in mind, um, I'm very excited to hear about this because I think art

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is one of those things that's, uh, uniquely human, you

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know, AI-generated images notwithstanding, but, but that's a whole

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other rabbit hole. But I think it's uniquely— it's not only

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uniquely human, but I also think it helps people process really

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weird abstract ideas. Whether we're

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talking about cave paintings where they show like, hey, look, this is how we hunt

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the animals. And I mean, this is something that's very much

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uniquely human. And, you know, up

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we were the only ones that we knew of that, that used art. And art

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is one of those things universal across all cultures. And whether

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it's cave paintings in Lesotho, or caves,

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caves paintings, or, you know, rock paintings, all all the way up

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to modern art. And what's really exciting is

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that you've kind of taken this really weird abstract aspect

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of mathematics, which is not everyone's cup of tea,

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um, and you've made something beautiful out of it. I think that's cool because

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I think everyone can appreciate beauty. Obviously what

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constitutes beauty is, is very subjective, but the fact that you,

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um you know, everyone can appreciate beauty, I think is universal.

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And if I can add to it, what I think also been missing for me

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at least, I've been in the quantum field for like 5 years, I'm gonna explain

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that. Where are the visuals? Mm-hmm. Where's the beauty

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in quantum? I see a lot of papers, nice, nice,

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nice papers. It's not that, but you know, how can you see

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quantum? You can't see that, right? So every, every person

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has their own idea or something, you know, abstract. And I'm trying

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to make that a bit concrete. We find that we haven't found

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some kind of a logic way of how to visualize that.

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That's a great way to put it, because I first saw, um, the thing that

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made it click for me was I saw a vector graph where they were

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basically— and that's kind of— it was like a 2D block sphere, right? Block spheres

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are helpful too, but if you don't know the concept— but, but like,

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the, you know, when I saw that, because I'm like, how could How could 0

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1 be something else, right? Because going back to

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kindergarten, you know, 0 1 is still 1. Like, what is that?

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And then the presenter, um, was like, no, no, no, you're

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adding vectors. And I was like, oh, that makes a lot

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more sense, right? And then when you see a Blox Sphere where it's

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like, wait, it's really more complicated than even just the 2D map—

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the 2D map was the first thing that got my head around it. And then

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when I saw the Bloksphere and like the 3D— and, and maybe it goes up

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to more dimensions than 3, for all we know, um, or for all

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I know anyway. You have the PhD. Yeah, I would love

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to see this because I'm fascinated by it. You know, in the virtual green room

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you did kind of, you know, there's a preview of it and I'm like, this

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is awesome. Because I remember, I remember

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when fractals— not when they first come out, I don't know when they first came

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out— but I remember in the '90s I was in university and they were like,

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no, this is mathematically generated art. And I'm like, that's crazy. You zoom in, it's

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the same thing. You zoom in again, it's the same thing. You zoom out infinitely,

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it's the same thing. It's a bit like a, a coastline, right?

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A coastline from space is this jagged kind of— and you

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zoom in, it's still jagged. And it's kind of the— I

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don't know, for me, like, it was the, the mystery of

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nature almost. Yeah, exactly. And that's why I think it connects good with quantum, where

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we are saying, right, we're working with the fundamentals of nature, with particles.

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We're working with nature-based So if you can connect that to

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some nature math, which I think fractal math is,

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then suddenly, uh, things are coming together. Yes, that's a good

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way to, to poke at it. I'm excited. I've seen some of your work,

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so I want to, want to share with the audience. And if you're watching us—

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if you're listening to us, not watching us— be sure to check out the YouTube

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link that we'll send. So let me share

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the presentation. Okay, please, for

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sure. Include the

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sound. Okay. Okay, so you hopefully see some

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nice images. Yes,

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yes, yes. So, uh, as I said, uh, um, as

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I said, this is a personal project of mine, like independent of

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my work. But, but let me start, uh, by asking,

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so I, uh, I alluded to this before,

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but, uh, but the way I normally present this, then I say, imagine you could

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see quantum mechanics. I mean, imagine you could

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see quantum states, and I'm gonna explain that later, come alive in art

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so you can discover just how intricate and beautiful quantum

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phenomena can be. So I studied at the

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Technical University, uh, of Denmark like 30 years ago at the Department

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of Physics. I studied something called chaos theory. Perhaps you heard about the

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butterfly effect, soothing patterns and fractals. And then I

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was quite amazed that you could create these

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beautiful patterns with, with very simple recursive

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math. It was a very simple equation, and I'm going to show

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that. So if we fast forward a bit, then around 5 years ago, I started

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to upskill in quantum computing because I wanted to learn. So I

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became a Qiskit advocate. Which means I know a little bit about

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quantum computing. I'm not super duper expert in all areas. I know a little bit,

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but I was very interested in how you can program a

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quantum computer. And then, you know, one day I was upskilling

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and suddenly I, I, I still can't remember exactly how, whether it was

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a dream or how it came to me, but, but suddenly it like

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hit me. Why hadn't anybody cobbled these complex

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numbers, the complex amplitudes that you use in quantum mechanics

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and quantum computing with the complex numbers you use to

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create fractals. And ever since I got that idea, I combined these two

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domains, and that's how I ended up with these, I think, amazing

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patterns that I'm, that I'm real thrilled to, to share with you

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here today. So if it's okay, I'm going to just tell a little bit about

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the math connection between fractals and quantum computing

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and show how these states the quantum states can be visualized

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and also how they can be combined with music. And

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I'm also thrilled to present, I think, a first-of-its-kind

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short film, the jazz quantum fractal film. But I'm going

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to show you guys this, and I'm very eager to hear what you think

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about it. So first of all,

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what are fractals? And Frank, you already said that there are coastlines,

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and you— and that's exactly right, but Just, just to zoom out

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a little, a little bit. Some people know fractals, some people do not, but

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they're like complex geometric patterns that

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exhibit self-similarity at different scales. You have the coastlines, just as

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you said, Frank, you have the Romanesco broccoli where each

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floret is— where each floret is like a miniature copy of the whole. You

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have the cactus here, the Agave cactus with the fractal spiral

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patterns, and you have snowflakes. I really love snowflakes where each snowflake's

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like intricate design shows the fractal beauty— one of nature's

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smallest scales. And then when we zoom out to like the largest scale at

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all, then in galaxies you see these

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fractal spiral patterns. So, so also on the largest scales you see

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patterns that resemble fractals. So now we

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have some idea of, of, of where to find fractals. So let's have

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just a short look, just two slides here, uh, on the math

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part of it. So, so there are many different ways that you

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can create fractals, and I showed it here to the left. So one of the

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ways you can create fractals are something called

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the escape time fractals or Julia set fractals.

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So with Julia set fractals, you iteratively

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or recursively update this famous function, and I call it

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famous after Mandelbrot. Perhaps some of you have heard about,

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uh, Mandelbrot. And this equation is really like this— from a math point

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of view, it's like a very simple equation: z is equal to z

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squared plus c, nothing else, just

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this nice three-term math equation. And c,

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this last c, this is, this is the part that I've been focusing on, and

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I'm gonna, uh, explain that. So, and it's known

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with this function that if this absolute value of z

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stays below 2 after a finite number of iterations, then we say that that point

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is within the Julia set, and then we color accordingly. I'm going to

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show you some, some examples of that. But just, but just, uh, like,

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hold on, that come to the complex numbers are important when you

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are creating fractals. They are essential. Now, in quantum mechanics, on the other

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side, on the right side, in quantum computing,

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the quantum states— this is supposed to be some kind of a Bloch sphere. I'm

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going to show you the real one afterwards. Then, then

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you use some— then you represent quantum states with something called

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a state vector. And a state vector is

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made up of complex amplitudes, which

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mathematically are complex numbers. So now we see that there can

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be a link— not, not that there is, but there can be a link

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between the complex numbers that you use in quantum mechanics and quantum

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computing and the complex numbers that you use

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to create fractals. And just, um, I, I had the

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question sometimes, what are complex numbers? Um, so

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they're complex— that— so there are numbers that consist like of two parts. There's a

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real part like this a, and there's an imaginary

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part, this bi, where i is this imaginary unit. And

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you— and to simplify this a bit, so you use complex numbers in

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math when you cannot— when ordinary numbers are not

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enough. Signal analysis, quantum physics, and some fractal math. That's

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where you use complex numbers. That's— yeah. So in

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that kind of special occasions, complex numbers

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really make sense. So that formula there is a

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b × i, right? That's like the— that's how you normally,

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uh, would write a complex number. A real number a, b is a

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real number, but i

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is this imaginary unit. Okay, exactly. And the Mandelbrot

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equation is this one: z

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z² C. And C is a constant?

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Yes, that's a constant. Exactly. Just checking. Exactly. Last time— the last time I

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did any kind of math like this academically was,

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uh, um, Kurt Cobain was still alive. So

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for me, it's been also a long time ago, so, you

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know, I had to refresh and, and look some things up.

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So, but the thing that really got me, uh, interest, uh,

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that really that bothered me, but that intrigued me for

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some time, was that this equation z

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z² c, this c is just one complex number, is

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a constant, this one constant. But normally

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when you deal with quantum computing and, uh, and quantum mechanics, and

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when you use one qubit, just one qubit, the most simple

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quantum circuit has just has one qubit. But one qubit,

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then you already need two complex numbers to describe a quantum state

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or like a state vector with just one qubit. So I was wondering this

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in the beginning, how can you then make sure you

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use all the quantum information instead of just compressing

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any number of complex numbers into just one constant? How, how

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can you do that differently? So it turns out— well, if I zoom out,

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uh, just a second— so how many complex numbers at all can

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you take into account? It turns out, you know, that we

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are looking at, at an exponential growth here. So if you have

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1 qubit, you have 2 complex numbers. With 2 qubits, you have 4. 3,

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you have 8. 4 qubits, you have 16, and so forth. So you

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can see easily that's gonna explode to a huge number. But one way you can—

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is that one of the ways that you get all this, like,

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mathematical firepower from a quantum computer over a conventional system? Yes. I'm sorry,

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I didn't mean to cut your flow, but I was

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just like, oh, okay, got you. Right, but only up to

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a certain limit, then my computer simply breaks down because it's, it's just the

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number. If you just have, I don't know, 10, 15

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qubits, the number gets so high that my memory, uh, you know, crashes. So

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only up to a

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certain limit I can do this way. Okay, so one of

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the ways— there's something called UAC mating. And there you— and, and I had to

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look the math up again. There's something called a rational function

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math where you have a numerator and a denominator. So basically this

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equation you saw before, this Mandelbrot equation you saw here,

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basically I split up in two parts with one of the complex numbers in

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the numerator and the other one in the denominator. As you

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hopefully see, uh, the first equation I have here. And what I very much

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like about this field, I mean, nobody has really looked a

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lot, into this. So you can define the function any way

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you like, any way you like. So like

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a huge canvas, they're just waiting to be, uh, explored. So I show you—

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here's an alternative way that you can make use of

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both complex numbers. Again, a rational

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function but defined slightly differently. And as I mentioned before, you know,

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with 2 qubits you have 4 complex numbers:

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C₀, C₁, C₂, C₃. With 3 qubits,

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you have these 8 complex numbers going from C0 to, uh, to

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C7. So one of the ways you can try to

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incorporate all this quantum information is by expanding this rational function. And this is

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one way that you can do it, and there are

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really many different ways. And each time you play around and you find a

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new way to express that math,

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you get a new visual expression. Of the fractal math. So this

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is really like, how do you define the fractal math

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that makes use of the quant—

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um, of these complex numbers? So the Bloch sphere, Frank,

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you hopefully see the Bloch sphere to the left, right? So here you see the

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Bloch sphere that you normally use to visualize like a

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1-qubit, uh, state vector. And here you see 3

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different fractal equations and they are

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coming alive in this case from a superposition state. Hopefully it's

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kind of clear that this state vector like travels along, uh,

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the equator here. So in this case, for each 6°— for each 6° it

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could have been anything, but in this case for each 6° I take

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a snapshot and I get the state vector, I get the two

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complex numbers for each

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6°, and then I generate these three different, fractal, uh,

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math, uh, animations. So in the first animation, I compress the two numbers,

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I divide them, so just have one complex number. So

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this is like kind of the Mandelbrot version,

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the very first animation you see here. And these two other, uh,

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animations, I make use of both complex numbers by using

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this rational function I showed you before, like this Julius Zettmating, one

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way of doing it and the other way of doing it. So hopefully

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it's clear that depending on

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the kind of math you use, you get different visual expressions. Uh, does

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it make sense somehow? Yeah, yeah, and it makes— it's interesting. What happens if

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you're just— right now you're along the

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equator, like, how does it— the visual change when you

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go, uh, in different directions? So you will get a different

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kind of— I'm not sure it's going to be that different, Mhm. But, but, uh,

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no, from all the time I played around, as long as you

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are off the axis and get more into some different parts of

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the space, you do get some different visual, uh, expressions. You do.

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But this is, this is just here to illustrate that really

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depending on where you take the snapshots, you get a different

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expression. But yes, but you would get a

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different kind of, uh, of, of, uh, of, uh, fractals. So, uh,

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some of these, uh, initial art—

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quantum artwork here called the Qubit Carousel— was

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York. So here, uh, you see a slightly

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younger version of myself here in front of three

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noisy 7-qubit fractal pieces, because the criteria to exhibit

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at this exhibition was that the art was

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created using real quantum computers. So

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let me, uh, explain what I mean by that.

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Uh, so here in the middle,

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the middle image, this mostly yellow fractal, this has been

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created from a— I would call this an ideal or

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perfect fractal because it has been created

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with an ideal or noiseless simulator, quantum simulator, no noise, this would be

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the result you would be

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if you ran exactly this quantum circuit. So it turns out that every time you

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take a circuit and you send it off to a quantum

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computer, and we know we are in the

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NISQ era, so quantum hardware is imperfect, it's noisy. So every time

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you get a result back, you get a new noisy

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and, yeah, a new noisy and imperfect outcome back.

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So what I did here, I actually took 8 such images that I got back,

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and again, it depends on fractal math, but I use the same

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kind of fractal math. And hopefully

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you see that these images are variations of the

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ideal one you see in the middle. So, so from

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an artistic point of view, I really do believe

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that noise can be so much more beautiful than the

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ideal result that we are looking at here in the

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middle. So if it's okay, I become slightly philosophical, you know, that makes me like

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think, you know, perhaps we shouldn't strive for

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perfection as imperfection can be so much more beautiful. So all these small

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things, you know, getting out from, from playing around with quantum computers, looking at

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the ideal result, and then what happens when you get noisy

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results back, all the beautiful variations that you

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can get back. That's amazing. Yeah, if you have

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any questions, comments, please, please, uh, your comment about noise is interesting because there

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used to be a tool that was a plugin for

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Photoshop, uh, when I was in university

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called, um, Kai's Power Tools Convolver. And it was basically, you have— you start with

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the ideal, then like each one of them kind of would mutate in like different

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directions and you would click it and you would basically get— because you were strategically

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picking what type of noise, you were able to get a very different

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and very, I think, much more improved version of your graphic that you were

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building,

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uh, by adding noise strategically. And I thought that was interesting. But also I kind

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of like it from an artistic point of view because all

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the focus, uh, for all the hardware companies, right, is how

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can we get rid of the noise. Right? So, and here I, I, and then,

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and it makes sense because we want to trust the results, we want to have,

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we want to have as precise and accurate

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results as we can.

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But from an art point of view, hmm,

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I like noise. Um, so I use Python, I program this in

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Python and Qiskit and PennyLane.

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I use different programming, uh, language, but primarily Python. So, uh, so instead of

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using a default Python colormap, to the left here you see two fractal

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images with different colors. And to the left— so, so my wife

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one day asked me, why don't you let a

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quantum computer choose the colormap? I was like, yeah, why not? Actually,

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that's a good idea. We all heard about these quantum computing random

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generated numbers, so why not let a quantum computer generate the numbers? So

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to the right You see the same

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patterns, exactly the same patterns, but just with different, uh,

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quantum computer random generated color maps. The patterns aren't the same,

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but hopefully you see that the visual expressions are very different. So that's

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another dimension that you can add to our— let the quantum computer—

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you can set up the code, sure, but then

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let the quantum computer choose what kind of colors to, to, to, to propose, and

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then you can choose

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between

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the colors. So it's kind of human quantum human interaction. Okay,

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um, so in, in, in, in, uh, this piece

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here, I implemented an alternative version of an algorithm that's

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called the Bernstein-Vezzerani algorithm. That's not that important here, but what

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it— that enables is that you can enter any date

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or word, and then you can get a quantum state And as soon as

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you have the quantum state— I love quantum states because then you have the complex

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amplitudes, you have the complex numbers, and then I can generate the

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fractals. So I could take any words, any words. I could take Impact Quantum, I

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could take your names, I could take my name, any name, and then see what

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kind of a quantum fractal you would get out of that. So here I, you

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know, last year we had the International Year of Quantum Science and

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Technology. So this is the kind of fractal that I I

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entered these words and then I got this, uh, fractal piece. And so, um, so

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I'm trying— so I try to figure out, is there anything called

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quantum colors? So I look it up. So here I, I found something. I thought,

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you know, with a little bit of imagination,

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it could look like a particle cloud. Okay, I mean,

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it's subjective, but I'll try to color here

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with the quantum colors, the 3 quote colors and 3 anti-colors. So I love playing

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around not just with the technical stuff, but

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how can I also somehow connect it with a small

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story. I'm gonna, uh, expand on that, especially on this one.

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Oh wow. So this, this is one of my latest artworks.

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So here I entered the words, the four, uh, the four seasons,

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uh, where did I put that? Yeah, the, the four seasons. And I combine

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it with photos. So, uh, I live here in Denmark, so I

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taken some photos during the different seasons in Denmark. And my wife and I, we

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love going to Sweden. So one of these photos, the last ones, is actually from

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a park, uh, in Sweden. And then I

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use AI to overlay. So what I think is, uh, what's

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important to me is, you know, just not

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just everything is quantum, but how, how can we somehow tell the story

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try to connect it to the world that

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we live in because it easily gets

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so, uh, uh, abstract when we talk about, uh, quantum. So as, as, uh, so

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I wanted to, as, as here to explore different ways by combining these

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visuals. And I also like to add like a slightly poetic

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angle. This is really what I love about, you know, letting this be

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a side project. I can try to express, you know, creativity in a much different

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way than I can in my day job. And this is what

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I love about being, you know, a technical person, but here, whatever comes to your

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mind, you know, whatever you would like to express, you can

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do that in this creative way. So I tried

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here to, to combine these visuals as I said, with

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slightly poetic, uh, angle exactly to relate the quantum principles

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to the seasonal cycles of nature and try this way

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to bridge the quantum world with the world we know it. So

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if you— if it's okay with you,

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I will just read the text on this.

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Yes, please. Yeah, so, um, I call

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it the Haiku of Continuizy Quantum Fractal

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Symphony of the Seasons. So quantum

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fractals fall spring to winter, states unfolding, fractals shape the

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year. So, and you're held

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in 4 quantum states. First, blooming, then we have,

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uh, blazing, then we have blazing, right? And, um, sorry, just need to

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go back. Then we have, uh, softening, and then we

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have, uh, resting. And each season, that's like a fractal

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that's unfolding each pattern, a moment in the spiral of

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time. So across this cycle, quantum phenomena

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echo through the shifting forms. We have spring

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rising in coherence, and summer that's bright with

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resonance, and autumn that's dissolving, uh, through entanglement, fate,

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and winter that's settling into quiet, quiet decoherence. So a

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year shaped by

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the transitions of light and state unfolding in self-similar breath. Okay,

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so that's cool. That's

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a, you know, that's something everyone can, can can relate to, um, the, the

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changing of the seasons. That's cool. Exactly, exactly. And that's what I

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try to convey and also somehow connect it to the smallest,

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you know, to the quantum nature, but also make it

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more, uh, tangible, something

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that we can see and relate to. So now this 5-qubit fractal I'm, I'm, I'm

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very fond of— my wife and I are very

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fond of this one because in my view it looks hopefully

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both like a yin and yang symbol, like this wave in the

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middle, but also the bird. With a little bit of

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imagination, perhaps you see the bird's head

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here, right? The eyes, some feathers, the mouth up here. So, so we call— or

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I call this piece the quantum bird

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in the dance of yin and yang. Bridging Opposites in Balance. And, uh, allow

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me here to again read the caption from, from my Instagram

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post here. So, in the infinite space

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of the quantum realm, a bird takes flight,

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navigating a path shaped by the entanglement of unseen forces.

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And encircled by yin and yang's eternal dance,

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it bridges the dualities and the interconnectedness of opposites—

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light and dark, Chaos and order, known and unknown. And the bird

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emerges as a symbol of unity, reminding us that

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even in contrast, there's a balance. Through quantum

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entanglement and cosmic balance, it finds its way home. The

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one funny— funny, I don't know— funny thing about this is I live

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in Europe, and I, and I, uh, read some time ago

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that there's something, you know, that, uh, birds think— some birds can navigate

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based on quantum principles. I know you had

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an earlier podcast episode about quantum biology.

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So that's the European Robin is said to navigate

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using quantum entanglement in its eye by sensing the Earth

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magnetic field. He use that when it migrates. So

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this is also kind of slowly— not slowly, but whenever the

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opportunity is there, trying to connect

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again what happens in the quantum world with a slightly,

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uh, philosophical angle, but also to nature again. To,

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to nature as we know it. So I like

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this, uh, connecting things from sitting something, you know, on my computer,

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seeing what happens when I get back, you know, from, from, from

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the quantum, uh, technology I'm using, and then relating

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it again out to what happens, uh, in

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the wider world. So yeah, this is

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like a whole journey, if that

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makes sense. In some way. Um, it's amazing, right? It's fantastic. I'm just—

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I'm, I'm really enjoying listening to your explanation as

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to why we're seeing it how we're

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seeing it. Um, I, I— please continue. I think it's fantastic.

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So I also turn my attention to, you know, fractal

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animations because, as you said, Frank, Fractals are known for— you can

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zoom in or out and you see the same patterns, they're repeating. So

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here I want to show you like what I call like a,

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like a short journey I call into the mind of a quantum

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computer from this fractal art perspective. And why do I call it that? I

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call that because it's based on a 7-qubit, on a 7-qubit

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quantum circuit. So 7-qubit, if we translate that to

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the complex numbers, that's 128 complex numbers I use in this kind of

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math. But this quantum circuit has been run

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on real quantum hardware. It's not a simulator, real

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quantum hardware. So I'm gonna play and let's see, uh, how well it

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goes through here in this recording. But I'm gonna play this, this

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recording, you will see this fractal zoom. So we're

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gonna zoom into this mind of a quantum computer, into

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this fractal. And I call this work like

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quantum

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horigan thoughts. So let me show you. This, uh, video. That

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was cool. Yes, it was fantastic. What impressed me is like you had the

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sense of volume, like you were

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traveling through something, through the image. Yeah, thank

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you. Yes, yeah, so, and it's really, uh, again, this post-processing. I have this fractal,

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so how can I do it to, uh, what can I do to make it

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more alive so it's not just still images? And I think this is

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one of the ways where you also where I also make use of

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the unique properties that fractals have, that

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you can keep zooming in. So, and so I also want to show you

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this one. So I also started to look at 3D

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animations. And here I want to show like two

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short 3D videos, which I

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call like sensory journeys into quantum fractal universes. And

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I would, I would encourage you to pay

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attention to these fine details because the fractal's fine details

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become even more clear when we look at them in 3D. So let's have

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a look at this piece, at this piece, or, uh, these two

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short pieces that I call, that I call

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Echoes of the Quantum: A

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Slow

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Journey

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into

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the Fractal Landscape. So let me play this. [MUSIC] [MUSIC]

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Oh, that's some hippie trippy stuff. That's very cool. That was very cool. I,

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uh, the second animation with the fly— it looked like a flower.

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Yeah, yeah, that's what I

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thought. It had a very, very real organic feel to it. Mm, that was cool.

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Thank you. That was, that was

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the intention. Yeah. Yeah, that was fantastic. So thank

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you. So now I've also been, uh, wondering, you

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know, whether can these quantum fractals, can they be used to, uh, you know, to,

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to capture the attention, you know, of, of, of people who do not

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have a quantum physics background or don't know anything about quantum computing. And

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start to get them interested, just

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to start to get them curious about

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certain topics, about certain quantum topics. So I put together this,

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uh, animation, uh, recently, and, and let me show you

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this, um, this video about coherence, right? So coherence is when

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you have a quantum state, and when the quantum states are coherent, then

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you can do all kinds of calculations why they are coherent.,

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but due to different kind of environmental noise or errors,

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they can quickly decohere, and then you lose the ability

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to make calculations in that time. So

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here I try to visualize, uh, the, uh, coherence

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using three different fractals. And instead of always using entanglement like

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between two particles, I thought, okay, let's expand

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this a bit into three particles. So Let

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me

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show

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you this, uh, this, this piece

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here, uh, on, on, on coherence. That was

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interesting. Mm-hmm. That was cool. I think this also can, can help visualize kind

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of like some

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of the weird things that are going on in, in

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quantum physics. Yes, right? Because, yeah, because

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how do you even try to explain stuff like that, right? Right. And especially,

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especially if you're a visual learner, right? Like, if you're a visual learner, like,

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this stuff is hard to get

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your head around because it's so counterintuitive

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to how we experience everyday physics, like everyday reality. So no, that's

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cool. I agree. I wish when I was studying

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at the university back then, we only had the

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books, right? Big books, a lot of, uh,

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text, almost no visuals, a lot of formula. It was tough, right? It

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was pretty tough if, if, if, if you guys, uh, remember that time.

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If there have been visual learning, much more YouTube back then, or different ways of,

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of learning some of the hard stuff, I think that could be, uh, For some

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of us, it would

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have been much more easy to grasp

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the concepts. Yeah, there was a, there was a series of mathematical lectures that was,

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uh, I think it was a

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guy at Stanford. This was on PBS

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in like the '80s, and accompanying his lectures about these very weird,

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uh, very— I didn't say abstract, but they were basically Maxwell's formula was the one

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that that I remember the most, where he kind of

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shows that the lines of force and all that, and very rudimentary computer graphics, you

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know, for the time, but,

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you know, cutting edge at the time, right? But, um, it helped me understand

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it, right? And I remember, and I still think back to

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like, you know, those crazy, like, you know,

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probably done on Amiga graphics or, you know, something like that. Like, but,

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uh, no, you're right, like, it helps you get your

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head around things. That's interesting because the, the visual cortex is there,

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you might as well use it for learning, right? Like,

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yeah, exactly. I, I just feel that,

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you know, with the representation

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that you're showing, you've, you've added like an emotional and an

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aesthetic kind of resonance

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to something that could really just be seen as engineering.

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When did you start thinking about, thinking about the

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emotional and the aesthetic resonance of, of, of, of these quantum equations? That's a good

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question, Kenz. I think when I got the idea that I

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suddenly, not suddenly, but then, you know, that I could visualize these

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quantum states using fractal sense, then suddenly, you know, it like became even

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more apparent to me. You know, how long time I've been looking too much

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at these books, as I said, in the

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past. So I was really missing the visual component,

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component. And also instead of everything having to be scientifically correct in papers,

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all that, I was really missing to, you know,

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to express the, the creative side. So I was kind

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of, how can I do this differently? How can this appeal? I'm trying to imagine

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how it could appeal, you know, to somebody who's

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not in the field. How can I try to

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make these very, um, theoretical concepts something a bit more tangible? So,

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um, besides my, uh, besides my, uh, academic,

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uh, educations, I also have an education as a psychotherapist. So I do like

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to— how can you connect this to people in a different way?

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Because I think that can make such a much more powerful connection instead of

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just seeing some formulas or

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some papers. So I'm trying to bring different

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parts of my past into play because I think

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that creates something, uh, unique that hopefully some people can relate to.

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Interesting. I think that's an interesting, like, kind

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of cross-discipline, uh, because one of the things that, you know, you know, Candace

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kind of said it

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like it looked very hippie dippy trippy, right? Like, I paraphrasing,

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right? It— there's a psychedelic feel to this, uh, with fractals

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in general. Like, and what does that say about our systems of

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perception? Or is it our systems of perception, or is it something

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fundamental in the universe? Because you have a lot of

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these things, you know, popping up,

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whether they're mandalas in the Eastern tradition, whether it's, uh,

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you know, um, you know fractals in kind of modern Western

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math, or, you know, you mentioned yin and yang, like these things, common themes

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tend to pop up. And I'm a believer, like, you know, if

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not everyone's going to agree on everything, but if you have people who don't agree

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on everything agree on

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a handful

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of things, that says something very true and fundamental. Agree. Yeah. So

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So I, I, I very much like when you combine art

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forms. So, uh, it turns out also that you can

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take any sound or any piece of music and you can

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transform this— let's call it classical sound

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data— you can transform that into a quantum

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state using something called the, the quantum Fourier transform signal, uh,

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analysis, quantum Fourier transform. So you can take this, this piece of

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normal music or sound into a quantum state. And then, as you see, when you,

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when you have a quantum state, I like that a lot because then I

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can turn it into fractals. So one of our good friends

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here in Denmark is called Christine Dahl, and she's like

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a professional jazz musician. She has won several prizes in Denmark, in

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Germany, and in Norway. So together with

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a colleague, we created this prototype film,

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and it features these quantum fractals that are generated based on

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segments of one of Christina's tracks called

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Souls of the Wind, and then it's combined with some AI-generated images. So there's

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the details, uh, you can read about the details in this article, but I want

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to show you like 2 minutes of

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what I believe, like, the first— the world's first jazz pornographic film. So it's okay

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with you? I'm just going to play like 2 minutes of this jazz. Oh sure,

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yeah, no, I'd love to see this because that was my next question. How does

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this relate to sound, right? Because there's also auditory

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for auditory learners, but also too, like, there's

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a lot of harmonics could

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be involved in here.

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So,

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so

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be

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prepared

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for some Nordic jazz. Yeah, 2 minutes. [MUSIC] [MUSIC] Sam.

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[MUSIC] Mm, that's cool, you

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know. And, and, and

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by using, using

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music and using these visualizations, again,

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you are really substantially making something understandable using like

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all the senses. I, I just— I'm, I'm just

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totally blown away. Thank you. I, I really hope that many

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other people will also get into this

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so we can show different aspects of

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quantum, right? More the creative sides, the visual, the auditory. So

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I think there's a little room for

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a lot more going on in this, uh,

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in this field. Wow. That is cool. So last summer,

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then I presented my artwork at the, at the,

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at United Nations Quantum for Good Summit in

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Geneva, Switzerland, together with McKenna McGrew. And

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she's a quantum information scientist and quantum musician. So together we

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formed, um, this, this band that we called Echoes from the Quantum,

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and we showcase quantum fractals and quantum music based on

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the same quantum states. So she composes music based on quantum

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states, and I create the fractals based on the same quantum states.

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So, uh, I'm just going to play here like 4

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sections of, of this quantum music, around 30 seconds each. And for each

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section, then you will see a quantum fractal with some text again, where

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I again try to relate what goes on, uh,

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or try to describe what goes

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on

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in the quantum world from a, a artistic point of view.

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[MUSIC] See, first I was really excited by the huskies and, and the, the,

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the sound that they made. I thought that was

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really, really exciting. But then, um, you just showed us one. What was the last

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one that you showed us? Oh yeah, the living cell. The living—

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like, and the complexity of this— of the,

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of the quantum cell. Oh my God, that one blew me away. Yeah, same here.

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And I was like, based on one qubit, and I was like, I wonder how

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we would hear that. And then when you get to the ones that are multiples,

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like, oh, I hear it now. I can't put my— I can't explain it.—

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I can't explain it in words, but I'm like, I heard

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it. I— you can hear the different

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nodes, for lack of a better term. You, you

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can almost hear it. So the sound— I'm not a sound expert, but

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McKenna, she's really a sound expert, so she can explain this much better than, than

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I do. But I just want to say that this Quantum

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Cell, my wife and I got so, uh, so fond of this one that we

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actually printed it out and we have it hanging on the wall,

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like in a like, uh, what do you

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call it, like a gallery print, like

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80 times 80 centimeters. It's really astonishing to, to look

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at. Nice. So, so this is cool. This is

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probably the most visually and auditory stunning version of our episode that we've

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ever done. Uh, absolutely. This has to be— this has to be seen.

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Yeah, yeah, seriously. Like, if you're listening to this, you're missing a

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lot of the the feel. Plus you, you

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might— you're not seeing my funky, my funky glasses. I'll go to

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the YouTube, right? And, and, and, and, and look

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at it afterwards, right? So, but also I just

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have a few more, uh, slides, two more slides. So, so

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what Makeda and I also did, we look into complexity in quantum arts. So

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that means that we're going from simple arts, and by simple art

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I mean this is based on quantum circuits that are easy

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to simulate on a classical computer, on a normal computer,

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to the more complex art, which means art that is based on

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quantum circuits where you have different

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gates in them that make it more difficult to simulate classically. Without

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going into much— too many, uh, technical details, there is

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something to do with Clifford gates and non-Clifford gates, but

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let's not go into these technical details right now. But what we showed uh,

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in an article where I can provide, uh, the link,

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of course, is that the artistic complexity can be measured

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by something called the Shannon entropy, right, which is a

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measure of the amount of complexity and unpredictab— unpredictability you have

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in a system. And we could see, we

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could measure that the Shannon entropy is notably higher in

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the more complex art compared to

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the more simple art both with the visuals but also with the audio.

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So if you have a look here at these, uh, three fractals here, um,

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you have the same fractal math in all the columns from three

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different ways of making these fractals. In the

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top row, you see these nice symmetric ordered fractals

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as we know them, very symmetric, very symmetrical. And this is

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based on the simple classical systems what we can do on

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a normal computer easily. But then when we get into

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the more complex math, you start to see, uh, on more these more

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complex circuits— sorry— then you see how the math

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or how the fractal images also changes. And it's really a matter of,

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of preference whether you like the more

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ordered one or the more distorted, the more irregular ones. So I'm

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just curious here, are there any— or which of these do you like? Uh, I

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kind of like the upper middle one. Just because it

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has that pop

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art feel. I don't know. I also like the lower right one. Yeah. Mm-hmm. And

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imagine this is just one set of colors, and imagine you can

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add all kinds of different color maps to it. So you mentioned that

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these are simulated. Have you, have you tried

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to generate these on, on real quantum hardware? So these ones are simulated, uh, due

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to, uh, to the time that we had

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to do this, but I could also had used the hardware. You're right. Well, like,

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how would it— would it— would you get a different result?

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Would it be like a slightly different result, or— yeah, so I would expect

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it, because every time you run a hardware, you

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get this noisy result back, right? Uh, yeah, yeah,

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yeah. So I would expect the result perhaps to become even

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more distorted, but how much? Each

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one, each one gives you a new noisy result back, but I would expect it

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to become— I don't know if you could tell the difference

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between running the top one on a

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quantum computer and getting

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the results back versus the

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lower row where you already use complex, uh, circuits.

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Does one type of— I'm sorry, does, does one type of

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quantum computer generate a different result? So like, would an annealing circuit generate something

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different than, say, photonic or trapped ion— and Candace, I know I'm leaving out

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like two more other types— like, does the

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type of hardware you're running it on

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change the visual, or— because these are base quantum phenomena, it

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shouldn't matter. That's a very good, uh, question, Frank. I really, uh, look

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forward to getting access to different kind of hardware so I can

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test it out, right, and see like

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how big is the difference on different hardware. Versus the ideal one, right? How

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different are we from the ideal on different hardware? Do they

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make different visuals? That could be a great thing to,

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to look into. Hadn't had that opportunity yet, but, uh, definitely worth exploring.

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Well, hopefully somebody in our audience can make that happen for you. So, right,

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so, so the final piece I want to show today, uh, is

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called Infinity, as you see here. And this I've done

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in collaboration with, uh, with a British contemporary artist, Michel-Jacques Pearce, who's like a who's

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like a— I would call traditional painter, but that's not, uh, but,

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but she paints, she paints, right? So, and we have created several pieces

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of art inspired by each other. So to the left you

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see her painting, uh, called Infinity, and here to the right you see

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my quantum fractal art version of that one. And the reason why I want to

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close with this one is that I got so lucky that

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last year in Nature, the science journal Nature, they discovered my

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quantum fractal piece, right? And they featured it in a Nature

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review article that

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was commem— that was commemorating the 100th anniversary of quantum mechanics. That's fantastic. So that

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was kind of cool, just sitting and playing around,

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and suddenly, you know, perhaps this can capture some

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of the

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complexity in some visual abstract way, you know, dealing with quantum

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computers. So, so, so So, so I just want to say thank you, you know,

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for, for joining me and for, you know, for, for having me

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here. So, so hopefully you have an idea about what quantum fractal

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art is, and also you have some idea at

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least that quantum states can also be visualized as these intricate

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and beautiful patterns, and that it can all be combined with music also. And

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for those not watching this— watching this, it's, uh, that was a QR code for

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your Instagram, which we'll make sure we have in the

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show notes, because your Instagram is very fascinating. Yeah, it's

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good. Um, very cool stuff. Um, want to be respectful of your time, plus I

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do have kids

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home from school and I, I, I can hear them decohering from here. Um,

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you had your own visualization. I got my own visualization there. Yeah, I hear—

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I, I, I, um, you know, I'm in the basement and the playroom is

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upstairs and I slowly hear the chaos going from like this

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noise level to like— yeah, there's a lot of quantum noise happening upstairs.

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Uh, but thank you very much. This has been probably the most fascinating— and we

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have a lot of fascinating guests, right? I'm not throwing shade at any of

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our previous guests, Candace. No, I know. Wow, this is really cool. This

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is different. Very different and very cool. And I appreciate what you're doing because I

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think you're doing, you know, the Lord's work, you know what I mean? Like, you're

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bringing— you're, you know, a lot of people think of art and science

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as two very different realms, but, you

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know, and then they are, but there's a significant overlap too. Exactly. Well, I want

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to thank you again for, for allowing me time for this because I

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know this was a different topic. I've listened to all the podcasts, so that's, you

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know, curious at all, would you

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be open to this kind of, uh, outside— Oh, absolutely. This is amazing. Yeah, no

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problem. And I know Candace does a lot of work with neurodiversity

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and things like that, um, and, and, and has experience in that space. And I

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would suspect that there's— I don't— I mean, I, I just see an overlap there

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too, right? In terms of how different people learn, different

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learning styles and things like that. I think, I think

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there's an enormous, um, a lot of directions this

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could go. Yeah, exactly. Awesome. Well, thank you again so

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much for your time, and, and we'll, we'll connect everyone to your

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Instagram. Thank you.

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Thanks a

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lot. Awesome. Thanks for having us, and we'll play

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the

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outro music. They're connecting the dots. Candace and Frank,

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they're the cosmic hotshot. Quantum Podcast, turn it up

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fast. Candace and Frank blowing my mind at

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last. Quantum Podcast, they're breaking the mold. Science and ska beats. It's bold and it's

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gold.

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