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arXiv 2010.04580quant-phstat.AP
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SchWARMA:一种基于模型的量子线路时间相关噪声分析方法

SchWARMA: A model-based approach for time-correlated noise in quantum circuits

Kevin Schultz, Gregory Quiroz, Paraj Titum, B. D. Clader

摘要:

时间噪声相关性在量子系统中普遍存在,但在量子线路的分析中经常被忽略,因为精确表征和建模它们所需的复杂性。自回归移动平均(ARMA)模型是来自时间序列分析的公知技术,其对数据中的时间相关性进行建模。通过用一个特殊的矩阵流形来确定完全正的保迹(CPTP)量子操作空间,将ARMA模型推广到CPTP映射空间,并模拟了量子线路中的时间相关噪声.这种方法,称为薛定谔波ARMA(SchWARMA),提供了一个自然的路径,从信号处理,控制理论和系统识别,ARMA模型和线性系统是必不可少的经典技术的推广。这使得经典信号处理的广泛理论能够应用于量子系统模拟,表征和噪声抑制。

英文摘要:

Temporal noise correlations are ubiquitous in quantum systems, yet often neglected in the analysis of quantum circuits due to the complexity required to accurately characterize and model them. Autoregressive moving average (ARMA) models are a well-known technique from time series analysis that model time correlations in data. By identifying the space of completely positive trace reserving (CPTP) quantum operations with a particular matrix manifold, we generalize ARMA models to the space of CPTP maps to parameterize and simulate temporally correlated noise in quantum circuits. This approach, denoted Schrödinger Wave ARMA (SchWARMA), provides a natural path for generalization of classic techniques from signal processing, control theory, and system identification for which ARMA models and linear systems are essential. This enables the broad theory of classical signal processing to be applied to quantum system simulation, characterization, and noise mitigation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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