结构浴自旋玻色子模型的量子模拟

IF 14.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Ke Sun, Mingyu Kang, Hanggai Nuomin, George Schwartz, David N. Beratan, Kenneth R. Brown, Jungsang Kim
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引用次数: 0

摘要

自旋玻色子模型涉及自旋与量子谐振子的相互作用,是一种广泛使用的开放量子系统的表示,它描述了物理、化学和生物系统中的许多耗散过程。捕获离子提供了一个理想的平台来模拟这些模型的量子动力学,通过访问高质量的内部量子比特状态和离子的自旋和玻色子的运动模式。我们展示了一种完全可编程的方法来模拟自旋玻色子模型的耗散动力学,使用捕获离子链,其中通过控制运动模式的状态及其与量子比特状态的耦合来设计玻色子浴的初始温度和光谱密度。我们的方法为研究开放量子系统提供了一种通用的、精确的实验工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantum simulation of spin-boson models with structured bath

Quantum simulation of spin-boson models with structured bath

The spin-boson model, involving spins interacting with a bath of quantum harmonic oscillators, is a widely used representation of open quantum systems that describe many dissipative processes in physical, chemical and biological systems. Trapped ions present an ideal platform for simulating the quantum dynamics of such models, by accessing both the high-quality internal qubit states and the motional modes of the ions for spins and bosons, respectively. We demonstrate a fully programmable method to simulate dissipative dynamics of spin-boson models using a chain of trapped ions, where the initial temperature and the spectral densities of the boson bath are engineered by controlling the state of the motional modes and their coupling with qubit states. Our method provides a versatile and precise experimental tool for studying open quantum systems.

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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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