SimOS：一个用于模拟光学可寻址自旋的 Python 框架
SimOS: A Python Framework for Simulations of Optically Addressable Spins
AI总结：
本文介绍开源 Python 框架 SimOS，用于构建和演化含自旋与电子能级的多组分量子系统，支持 Lindblad 时间演化、随机与空间动力学及符号算符，并提供 NV 中心和自由基对子模块。
摘要：
我们提出了一个用 Python 开发的、用于光探测磁共振的开源模拟框架。该框架允许用户构建、操控并演化由自旋和电子能级组成的多组分量子系统。我们提供了用于高效 Lindblad 形式时间演化的接口，以及一个便于模拟空间动力学和广义随机动力学的框架。此外，对于简单模型系统，框架支持符号化算符构建与传播，这也使其非常适合用于磁共振的课堂教学。该库被设计为与后端无关，并利用现有 Python 库作为计算后端。我们介绍了其最重要的功能，并通过一系列示例说明语法。这些示例包括金刚石中的氮-空位中心以及光生自旋相关自由基对等系统；针对这些系统，我们的库提供了专门的子模块。
英文摘要：
We present an open-source simulation framework for optically detected magnetic resonance, developed in Python. The framework allows users to construct, manipulate, and evolve multipartite quantum systems that consist of spins and electronic levels. We provide an interface for efficient time-evolution in Lindblad form as well as a framework for facilitating simulation of spatial and generalized stochastic dynamics. Further, symbolic operator construction and propagation is supported for simple model systems making the framework also ideal for use in classroom instruction of magnetic resonance. Designed to be backend-agnostic, the library leverages existing Python libraries as computational backends. We introduce the most important functionality and illustrate the syntax on a series of examples. These include systems such as the nitrogen-vacancy center in diamond and photo-generated spin-correlated radical pairs for which our library offers system-specific sub-modules.
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。
