AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

Proving olympiad geometry theorems on a superconducting quantum processor

arXiv · AI, language, vision and robotics · article · Sep 13, 2026 · UTC

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

Read original source ↗ Open in workspace

recordType
paper
region
Global

Evidence & attribution

First collected: 2026-09-20T12:21:05.240Z. This is not the publication date.