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arXiv · 2609.17979

Qurrium: A Python package for randomized measurement-based estimation of quantum state properties

Huai-Chun Chang·Teik-Hui Lee·Arthur Strauss·Yu-Cheng Lin·Hsiu-Chuan Hsu
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Abstract

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.

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Huai-Chun Chang, Teik-Hui Lee, Arthur Strauss, Yu-Cheng Lin, Hsiu-Chuan Hsu. 2026-09-16. Qurrium: A Python package for randomized measurement-based estimation of quantum state properties. https://arxiv.org/abs/2609.17979

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