Estimating the number of states of a quantum system via the rodeo algorithm for quantum computation

IF 2.2 3区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL Quantum Information Processing Pub Date : 2024-10-14 DOI:10.1007/s11128-024-04552-1
J. C. S. Rocha, R. F. I. Gomes, W. A. T. Nogueira, R. A. Dias
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Abstract

In the realm of statistical physics, the number of states in which a system can be realized with a given energy is a key concept that bridges the microscopic and macroscopic descriptions of physical systems. For quantum systems, many approaches rely on the solution of the Schrödinger equation. In this work, we demonstrate how the recently developed rodeo algorithm can be utilized to determine the number of states associated with all energy levels without any prior knowledge of the eigenstates. Quantum computers, with their innate ability to address the intricacies of quantum systems, make this approach particularly promising for the study of the thermodynamics of those systems. To illustrate the procedure’s effectiveness, we apply it to compute the number of states of the 1D transverse field Ising model and, consequently, its specific heat, proving the reliability of the method presented here.

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通过量子计算的圈地算法估算量子系统的状态数
在统计物理学领域,一个系统在给定能量下可实现的状态数量是一个关键概念,它连接着物理系统的微观和宏观描述。对于量子系统,许多方法都依赖于薛定谔方程的求解。在这项工作中,我们展示了如何利用最近开发的圈地算法来确定与所有能级相关的状态数,而无需事先了解特征状态。量子计算机具有解决量子系统错综复杂问题的先天能力,因此这种方法特别适合研究这些系统的热力学。为了说明该程序的有效性,我们将其用于计算一维横向场伊辛模型的状态数,进而计算其比热,从而证明本文所介绍方法的可靠性。
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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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