Qurrium：基于随机测量的量子态性质估计的Python包

中文摘要 AI 辅助

估计量子态性质对于从研究量子多体物理到基准测试量子硬件等广泛应用至关重要。我们介绍Qurrium，一个基于Qiskit构建的Python包，它实现了用于估计纯度、二阶Rényi熵、泡利可观测量的期望值以及态重叠的随机测量协议。在本文中，我们专注于经典阴影协议，并展示了Qurrium中的两种工作流程。一种是端到端工作流程，集成了量子电路制备、模拟、测量和分析。另一种是独立估计工作流程，它接受来自任何硬件平台的以Qurrium数据格式预收集的测量数据。我们通过团簇态和伊辛时间演化态的例子演示了这两种工作流程。此外，我们报告了由中央研究院开发的超导量子处理器获得的结果，并使用独立估计工作流程进行了分析。Qurrium基于Qiskit构建，Qiskit是量子计算软件中的主导框架，这使得它可以直接被已经使用Qiskit的大量研究人员社区所使用。源代码在此https URL公开可用，示例代码在此https URL提供。

英文摘要

Estimating quantum state properties is essential across a wide range of applications, from studying quantum many-body physics to benchmarking quantum hardware. We present Qurrium, a Python package built on Qiskit that implements randomized measurement protocols for estimating purity, second-order Rényi entropy, expectation values of Pauli observables, and state overlap. In this paper, we focus on the classical shadow protocol and demonstrate two workflows in Qurrium. One is the end-to-end workflow that integrates quantum circuit preparation, simulation, measurement, and analysis. The other is the standalone estimation workflow that accepts pre-collected measurement data from any hardware platform in Qurrium's data format. We demonstrate both workflows through examples of a cluster state and an Ising time-evolved state. Furthermore, we report results obtained from a superconducting quantum processor developed by Academia Sinica and analyzed using the standalone estimation workflow. Qurrium is built on Qiskit, the dominant framework in quantum computing software, making it directly accessible to the large community of researchers already working with Qiskit. The source code is openly available at https://github.com/qurrium/qurrium and the example code is provided at https://github.com/qurrium/classical-shadow-examples.

发表机构

• Academia Sinica（中央研究院）
• National Chengchi University（国立政治大学）
• National University of Singapore（新加坡国立大学）
• Centre for Quantum Technologies, National University of Singapore（新加坡国立大学量子技术中心）
• Quantum Machines, Singapore（新加坡量子机器公司）

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