SOURCE-LINKED INTELLIGENCE
Proving olympiad geometry theorems on a superconducting quantum processor
Automated theorem proving seeks to use computational systems to prove or disprove mathematical and logical statements [1, 2]. It underpins a wide range of applications, and enhancing theorem-proving capabilities remains a central objective in artificial intelligence [3]. Although recent neuro-symbolic systems have achieved remarkable progress [4-7], their operation is ultimately constrained by classical computational architectures. Quantum computing [8], by contrast, enables information encoding and coherent parallelism beyond classical limits [9-14], raising the possibility of accelerating st
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-13T14:10:44.000Z
First collected: 2026-09-20T12:21:05.240Z. This is not the publication date.