用量子计算加速数学定理证明,实现查询复杂度二次提升
Quantum automated theorem proving
- 利用量子叠加与纠缠构建知识库表示和推理算法
- 在命题逻辑和一阶逻辑中实现查询复杂度二次降低
- 扩展吴方法至量子场景,适用于奥数几何题
自动化定理证明旨在通过计算机程序自动证明或反驳数学定理与逻辑命题,在人工智能领域具有广泛应用。本文提出一种通用的量子自动化定理证明框架,利用量子叠加与纠缠特性带来潜在优势。我们引入知识库的量子表示,并设计适用于多种任务的推理算法。结果显示,量子消解法可在命题逻辑与一阶逻辑中实现查询复杂度的二次降低。此外,我们提出量子代数证明方法,将吴方法拓展至量子范畴,用于几何定理证明。通过国际数学奥林匹克竞赛中的具体几何问题实例,验证了量子计算机在几何证明中可实现查询复杂度的二次优化。本研究为构建实用化的量子自动定理证明器奠定了基础,对近中期及未来量子技术应用具有重要意义。
原文摘要 · Abstract (English)
Automated theorem proving, or more broadly automated reasoning, aims at using computer programs to automatically prove or disprove mathematical theorems and logical statements. It takes on an essential role across a vast array of applications and the quest for enhanced theorem-proving capabilities remains a prominent pursuit in artificial intelligence. Here, we propose a generic framework for quantum automated theorem proving, where the intrinsic quantum superposition and entanglement features would lead to potential advantages. In particular, we introduce quantum representations of knowledge bases and propose corresponding reasoning algorithms for a variety of tasks. We show how automated reasoning can be achieved with quantum resolution in both propositional and first-order logic with quadratically reduced query complexity. In addition, we propose the quantum algebraic proving method for geometric theorems, extending Wu's algebraic approach beyond the classical setting. Through concrete examples, including geometry problems from the International Mathematical Olympiad, we demonstrate how a quantum computer may prove geometric theorems with quadratic better query complexity. Our results establish a primary approach towards building quantum automatic theorem provers, which would be crucial for practical applications of both near-term and future quantum technologies.
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