English(EN) Analogy between Boltzmann machines and Feynman path integrals

研究人员在Boltzmann机与量子物理路径积分之间建立联系

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-07 04:00

本文将机器学习中使用的Boltzmann机与量子物理中的Feynman路径积分进行了类比。作者提出，神经网络中的隐藏层可以被视为Feynman路径积分形式论中路径元素的离散版本。这种联系使得开发适用于Boltzmann机和Feynman路径积分的通用量子电路模型成为可能，并通过将可解释的隐藏层与逆量子散射问题相关联，提供了一种定义它们的方法。 AI

影响探索机器学习模型与量子物理之间的理论联系，可能启发新的模型架构。

排序理由这是一篇探讨机器学习与量子物理之间理论联系的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Srinivasan S. Iyengar, Sabre Kais · 2026-05-07 04:00

Boltzmann机与Feynman路径积分的类比

arXiv:2301.06217v1 Announce Type: cross Abstract: We provide a detailed exposition of the connections between Boltzmann machines commonly utilized in machine learning problems and the ideas already well known in quantum statistical mechanics through Feynman's description of the s…

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Boltzmann机与Feynman路径积分的类比

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