Proving olympiad geometry theorems on a superconducting quantum processor

arXiv:2609.14533 · quant-ph, cs.AI · Submitted 2026-09-13 · Read on arXiv

quant-ph, cs.AI

Submitted: 2026-09-13

Updated: 2026-09-13

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Quantum Circuits — 16× in this paper · explained in 2 episodes
• Fidelity — 6× in this paper · explained in 2 episodes
• Reinforcement Learning — 5× in this paper · explained in 4 episodes
• Degeneracy — 4× in this paper · explained in 3 episodes
• International Mathematical Olympiad — 3× in this paper
• Calibration — 2× in this paper · explained in 7 episodes
• Formal Verification — 2× in this paper · explained in 2 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Query Complexity — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Anyons — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Hilbert Space — 1× in this paper · explained in 2 episodes
• Quantum Physics — 1× in this paper · explained in 10 episodes

Sources

• Quantum automated theorem proving
• DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition
• An approximate Fourier transform useful in quantum factoring

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