XY神经网络
XY Neural Networks
摘要：
经典XY模型是一种统计力学的格点模型，以其在光学、激光和凝聚态系统中的普适性而闻名。我们展示了如何基于XY模型的非线性块构建复杂的机器学习结构。最终目标是重现深度学习架构，它可以执行通常归因于此类架构的复杂任务：语音识别，视觉处理或其他高质量的复杂分类类型。我们开发了一种强大而透明的方法来构建这种模型，这种方法具有普遍适用性（即不与任何特定的物理系统紧密相连），允许许多可能的扩展，同时保持方法的简单性。
英文摘要：
The classical XY model is a lattice model of statistical mechanics notable for its universality in the rich hierarchy of the optical, laser and condensed matter systems. We show how to build complex structures for machine learning based on the XY model's nonlinear blocks. The final target is to reproduce the deep learning architectures, which can perform complicated tasks usually attributed to such architectures: speech recognition, visual processing, or other complex classification types with high quality. We developed the robust and transparent approach for the construction of such models, which has universal applicability (i.e. does not strongly connect to any particular physical system), allows many possible extensions while at the same time preserving the simplicity of the methodology.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
