In a bold stride that may redefine the optimization landscape, Polish startup Quantumz.io has unveiled VeloxQ 1, a quantum-inspired algorithm that outpaces even the most advanced quantum annealers—yet runs entirely on conventional computing systems.
Let that sink in: no qubits, no cryogenics, no exotic hardware—just raw performance, delivered at scale.
VeloxQ 1 isn’t just fast—it’s formidable. Benchmarked to handle up to 200 million binary variables, it tackles large-scale optimization problems that were, until now, considered out of reach for both classical and quantum solvers. And it does so without complex embedding, custom quantum processors, or hybrid workarounds.
“It’s quantum-inspired optimization without the hardware bottlenecks,” said the team at Quantumz.io. “Think of it as bringing a Formula 1 engine into your laptop.”
Outperforming the Best in the Game
In head-to-head comparisons, VeloxQ 1 consistently beat top-tier competitors like D-Wave’s Advantage and Advantage 2, the Kipu Quantum algorithm, and hybrid systems such as D-Wave’s Kerberos—surpassing them not just in speed, but in solution quality and scalability.
That’s no small feat. These platforms represent the bleeding edge of what’s possible in applied quantum computing. And yet, VeloxQ 1 is running circles around them—on standard silicon.
Built on Brains, Not Billions
The algorithm was developed by a tight-knit team of Polish physicists, mathematicians, and computer scientists over two intense years. Backed by just $1 million in private investment and $6 million in grants, they’ve achieved what some billion-dollar ventures have only promised: a working, scalable, and efficient optimization engine for real-world problems.
The fields of logistics, finance, energy systems, and artificial intelligence are already in their sights.
Next Up: VeloxQ 2 and a Seed Round
Quantumz.io is now gearing up for a seed funding round, with plans to commercialize VeloxQ 1 and integrate it into enterprise workflows. Simultaneously, development is already underway on VeloxQ 2—a next-gen version built to interface directly with quantum hardware.
Their broader mission? To blend classical and quantum strengths—without forcing industries to choose sides.
VeloxQ 1 isn’t just a technical achievement—it’s a strategic one. By removing the dependence on specialized quantum systems, Quantumz.io has effectively widened access to powerful optimization tools for companies that can’t (or don’t want to) bet everything on quantum readiness.
If this technology scales as expected, it could change the game not just for optimization, but for the entire quantum computing narrative: one where results—not hype—lead the conversation.
