Updated
Updated · New Scientist · Nov 12
Anthropic AI Proves 2011 Quantum Conjecture, Narrowing Speedups for Unstructured Problems
Updated
Updated · New Scientist · Nov 12

Anthropic AI Proves 2011 Quantum Conjecture, Narrowing Speedups for Unstructured Problems

1 articles · Updated · New Scientist · Nov 12

Summary

  • Fable 5.2 produced a proof of the 2011 Aaronson-Ambainis conjecture, showing quantum computers do not gain a major edge on a class of random yes-or-no problems.
  • 4 days of work by the model yielded a proof that PSI said it refined twice and verified in Lean before outside mathematicians at Stanford wrote an exposition of its key ideas.
  • That result removes one candidate route to quantum advantage, though Scott Aaronson and Shachar Lovett said the practical impact is limited because the ruled-out direction was not the likeliest source of useful speedups.
  • Stanford researchers said the proof still leaves many openings for quantum gains, including shorter or less random inputs, non-binary outputs, molecule simulation and some optimization problems.
  • The breakthrough adds to a growing pattern of AI settling well-posed questions in quantum information science, pushing researchers toward framing harder, more creative problems.

Insights

How did a secret AI model solve a 15-year-old quantum mystery in just four days?
With AI ruling out generic quantum speedups, which specific problems still hold the key to quantum supremacy?
If AI and Lean can conquer decades-old conjectures, what impossible math problem will fall next?