论文标题
量子计算机科学家的圆盘拷贝
DisCoPy for the quantum computer scientist
论文作者
论文摘要
圆盘拷贝（分布成分Python）是用于使用字符串图和函子计算的开源工具箱。特别是，图数据结构允许编码各种量子过程，并使用用于经典模拟和优化的函数，以及量子硬件的汇编和评估。这包括ZX微积分及其许多变体，量子机学习中使用的参数化电路，以及线性光学量子计算。我们回顾了图书馆朝这个方向的最新发展，使盘式副本成为量子计算机科学家的工具箱。
DisCoPy (Distributional Compositional Python) is an open source toolbox for computing with string diagrams and functors. In particular, the diagram data structure allows to encode various kinds of quantum processes, with functors for classical simulation and optimisation, as well as compilation and evaluation on quantum hardware. This includes the ZX calculus and its many variants, the parameterised circuits used in quantum machine learning, but also linear optical quantum computing. We review the recent developments of the library in this direction, making DisCoPy a toolbox for the quantum computer scientist.
