<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>发现 | AIM Blog</title><link>https://ai-mathematician.net/zh/discoveries/</link><description>发现的最新内容，来自AIM Blog</description><generator>Hugo</generator><language>zh</language><atom:link href="https://ai-mathematician.net/zh/discoveries/index.xml" rel="self" type="application/rss+xml"/><item><title>Sign Embedding Quantum Algorithms for Matrix Equations and Matrix Functions</title><link>https://arxiv.org/abs/2604.25333</link><guid>https://arxiv.org/abs/2604.25333</guid><category>发现</category><description>这项工作研究如何用量子算法处理科学计算和应用数学中常见的复杂矩阵问题。其核心贡献是提出一个较通用的框架，使多类矩阵计算任务有可能被更系统地转化为量子算法。</description></item><item><title>AI Mathematician as a Partner in Advancing Mathematical Discovery -- A Case Study in Homogenization Theory</title><link>https://arxiv.org/abs/2510.26380</link><guid>https://arxiv.org/abs/2510.26380</guid><category>发现</category><description>这项案例研究展示 AIM 如何辅助数学家完成一项较长、较技术性的证明。AIM 参与提出思路和组织推理，人类研究者负责引导、检查和修正，从而保证证明的严谨性。</description></item></channel></rss>