密度矩阵动力学的经典模拟电路仿真

Anthony J. Cressman;Rahul Sarpeshkar
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引用次数: 0

摘要

模拟电路已成为一种有价值的量子仿真和仿真平台。具体来说,它们已被实验证明在模拟量子电路的相干状态矢量动力学和基元方面表现出色,例如量子傅里叶变换、张量积叠加、Josephson结等两级系统和核磁共振状态动力学,所有这些都在室温下的超大规模集成芯片上(Cressman等人,2022;Sarpeshkar, 2019a, 2019b, 2019c;萨派斯卡,2020)。然而,简单状态向量的建模能力不足以模拟开放量子系统,即具有环境噪声的系统。噪声量子系统在利用噪声的实际实现和应用中是必不可少的。密度矩阵的形式化使我们能够建模这样的状态,包括有限的水库状态系统,以及所有可以表示为状态向量的状态。据我们所知,还没有人演示过密度矩阵系统到经典模拟电路元件的映射。我们回顾了用四个基本模拟电路元件模拟有限状态矢量的动力学过程,并将该过程扩展到模拟密度矩阵动力学。然后,我们将这些系统模拟为存在噪声的模拟电路。该协议为使用模拟电路进行任意大小系统的噪声量子仿真和模拟的进一步研究和开发开辟了令人兴奋的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emulation of Density Matrix Dynamics With Classical Analog Circuits
Analog circuits have emerged as a valuable quantum emulation and simulation platform. Specifically, they have been experimentally shown to excel in emulating coherent state vector dynamics and motifs of quantum circuits, such as the quantum Fourier transform, tensor product superpositions, two-level systems such as Josephson junctions, and nuclear magnetic resonance state dynamics, all on a very large scale integration chip at room temperature (Cressman et al., 2022; Sarpeshkar, 2019a, 2019b, 2019c; Sarpeshkar, 2020). However, the ability to model simple state vectors is insufficient for modeling open quantum systems, i.e., systems with environmental noise. Noisy quantum systems are essential in practical implementations and applications that exploit noise. The density matrix formalism enables us to model such states, including finite reservoir state systems, and all states that can be represented as state vectors. To our knowledge, no one has yet demonstrated the mapping of a density matrix system to classical analog circuit components. We review the procedure for emulating the dynamics of a finite state vector with four essential analog circuit components and extend this procedure to emulate density matrix dynamics. We then simulate these systems as analog circuits in the presence of noise. This protocol opens up exciting possibilities for further research and development in noisy quantum emulation and simulation using analog circuits for arbitrarily large or small systems.
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