An overview and implementation of the key ideas from the 2021 quantum machine learning paper Estimating the gradient and higher-order derivatives on quantum hardware with Rensselaer Polytechnic Institute student Owen Lockwood.
Google is on a path to build a useful, error-corrected quantum computer within the decade. This will accelerate solutions for some of the world’s most pressing problems, like sustainable energy, and unlock new scientific discoveries, like more helpful AI.
Building on their achievements in quantum computing, Google’s new research labs establish Santa Barbara as a premier destination for quantum computing. Take a tour with Erik Lucero, a member of the Quantum A.I. team at Google.
SaugaTalks with Davor Pavuna, Prof. Em. in Physics, EPFL, Switzerland and Imtiaz Adam, Artificial Intelligence Strategy Executive In this following vide, they discuss Quantum Computing, Narrow AI, General AI, Singularity, Dangers, and Opportunities that come with it.
Watch Priscila M.V. Lima discuss Artificial Intelligence meets Adiabatic Quantum Computing. From the abstract: We currently live in the era of machine learning wonders, to the extent that it is considered as a synonym for artificial intelligence by most lay… Read More »Artificial Intelligence meets Adiabatic Quantum Computing
In part 1 of this special series with Vint Cerf, father of the Internet and Chief Internet Evangelist, Google, Vint shares his views on challenges and progress in self-driving cars and quantum computing. While both are yet to be rush… Read More »Vint Cerf on Autonomous Cars and Quantum Computing
My first exposure to the potential of quantum computing came at a machine learning conference. Naturally, this talk resonates with me even if the title is a mouthful. This talk was presented live by Pinaki Sen, Engineering Undergrad at NIT Agartala,… Read More »Hierarchical Extreme Quantum Machine Learning with Tensor and Neural Networks