Preparing quantum statistical ensembles using mid-circuit measurements

IF 2.2 3区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL Quantum Information Processing Pub Date : 2024-05-31 DOI:10.1007/s11128-024-04412-y
John P. T. Stenger, C. Stephen Hellberg, Daniel Gunlycke
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Abstract

We explore the relationship between entropy and quantum measurements and present a variational algorithm for preparing statistical ensembles on quantum computers using mid-circuit measurements. This algorithm optimizes both the entropy and variational parameters describing the state to obtain the minimum free energy of quantum systems in thermal equilibrium with some external heat bath. We demonstrate our algorithm on IBM-Q Lagos.

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利用中电路测量制备量子统计集合
我们探讨了熵与量子测量之间的关系,并提出了一种利用中回路测量在量子计算机上制备统计集合的变分算法。该算法同时优化了熵和描述状态的变分参数,以获得与某些外部热浴处于热平衡的量子系统的最小自由能。我们在 IBM-Q 拉各斯上演示了我们的算法。
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来源期刊
Quantum Information Processing
Quantum Information Processing 物理-物理:数学物理
CiteScore
4.10
自引率
20.00%
发文量
337
审稿时长
4.5 months
期刊介绍: Quantum Information Processing is a high-impact, international journal publishing cutting-edge experimental and theoretical research in all areas of Quantum Information Science. Topics of interest include quantum cryptography and communications, entanglement and discord, quantum algorithms, quantum error correction and fault tolerance, quantum computer science, quantum imaging and sensing, and experimental platforms for quantum information. Quantum Information Processing supports and inspires research by providing a comprehensive peer review process, and broadcasting high quality results in a range of formats. These include original papers, letters, broadly focused perspectives, comprehensive review articles, book reviews, and special topical issues. The journal is particularly interested in papers detailing and demonstrating quantum information protocols for cryptography, communications, computation, and sensing.
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