Science & Tech · AI · 4 hrs ago

AI system helps solve a major quantum computing conjecture

AI system helps solve a major quantum computing conjecture

An AI-assisted team solved the Aaronson-Ambainis conjecture, an 18-year-old open problem in quantum computing.

The work was done by David Turturean, a staff member at the startup Physical Superintelligence, using early access to Anthropic’s Fable 5.2 model.

The conjecture asks when quantum computers can solve problems faster than classical computers.

Scott Aaronson, who helped pose it, said he believes the proof is correct because it was checked in Lean and explained by researchers, though he said he does not fully understand it.

The result closes one possible route to quantum speedups, but it does not rule out all ways quantum computers might solve difficult problems faster.

The finding also shows how AI may help with research, especially in fields where results can be expressed and checked as code.

Physical Superintelligence now earns revenue by optimizing data centers, while it aims to turn theoretical physics discoveries into technologies; the company says testing AI-generated ideas against experiments remains a challenge.

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What people are saying

David TurtureanPhysical Superintelligence technical staff member
It’s a negative result that allows people to know, okay, we’re no longer looking there
via TechCrunch
Scott AaronsonResearcher who posed the conjecture
A proof of full [Aaronson-Ambainis conjecture] was one of the last remaining open problems in quantum query complexity that everyone seemed to agree was centrally important
via TechCrunch
Matt PinesPhysical Superintelligence CEO
An effective kind of research system should have lots of things related to harnesses, lots related to tools, memory systems, simulation infrastructure
via TechCrunch

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