GuiTeNet：张量网络的图形用户界面
GuiTeNet: A graphical user interface for tensor networks
摘要：
我们引入了一个图形化的用户界面，用于构建任意张量网络和指定常见的操作，如收缩或分裂，表示为GuiTeNet。张量被表示为具有附加分支的节点，对应于张量的有序维度。GuiTeNet将当前网络可视化，并立即为迄今为止的用户操作序列生成Python/NumPy源代码。计划将来支持更多的程序设计语言。我们讨论了GuiTeNet使用的张量网络上的基本操作，以及高级优化策略。该软件可直接在Web浏览器中运行，并可在http://guitenet.org上在线获得。
英文摘要：
We introduce a graphical user interface for constructing arbitrary tensor networks and specifying common operations like contractions or splitting, denoted GuiTeNet. Tensors are represented as nodes with attached legs, corresponding to the ordered dimensions of the tensor. GuiTeNet visualizes the current network, and instantly generates Python/NumPy source code for the hitherto sequence of user actions. Support for additional programming languages is planned for the future. We discuss the elementary operations on tensor networks used by GuiTeNet, together with high-level optimization strategies. The software runs directly in web browsers and is available online at http://guitenet.org.
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。
