浅层量子电路能将局部噪声搅乱成全局白噪声吗?

Jonathan Foldager, Bálint Koczor
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引用次数: 4

摘要

浅量子电路被认为是实现早期实用量子优势的最有希望的候选者——这促使了广泛的误差缓解技术的发展,当量子态被全局去极化(白)噪声模型很好地近似时,其性能通常会得到改善。虽然随机电路将局部噪声搅乱成全局白噪声对于证明量子霸权至关重要——这一特性已被严格证明——但我们研究了实际浅层量子电路将局部噪声搅乱成全局白噪声的程度。我们定义了两个关键指标:(a)密度矩阵特征值均匀性和(b)换向子范数。前者决定了与白噪声的距离,后者决定了基于净化的误差缓解性能。我们推导了它们的解析近似边界,并发现在大多数情况下它们与数值结果很好地匹配。另一方面,我们模拟了广泛的实用量子电路,发现白噪声在某些情况下是一种糟糕的近似,对一些更简单的误差缓解方案的性能造成了重大限制。从积极的方面来看,我们发现在所有情况下,换向器范数都足够小,保证了基于净化的错误缓解的良好性能。最后,我们确定了可能降低这两个指标的技术,例如通过门插入或随机编译来增加动态李代数的维数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can shallow quantum circuits scramble local noise into global white noise?
Abstract Shallow quantum circuits are believed to be the most promising candidates for achieving early practical quantum advantage -- this has motivated the development of a broad range of error mitigation techniques whose performance generally improves when the quantum state is well approximated by a global depolarising (white) noise model. While it has been crucial for demonstrating quantum supremacy that random circuits scramble local noise into global white noise---a property that has been proved rigorously---we investigate to what degree practical shallow quantum circuits scramble local noise into global white noise. We define two key metrics as (a) density matrix eigenvalue uniformity and (b) commutator norm. While the former determines the distance from white noise, the latter determines the performance of purification based error mitigation. We derive analytical approximate bounds on their scaling and find in most cases they nicely match numerical results. On the other hand, we simulate a broad class of practical quantum circuits and find that white noise is in certain cases a bad approximation posing significant limitations on the performance of some of the simpler error mitigation schemes. On a positive note, we find in all cases that the commutator norm is sufficiently small guaranteeing a very good performance of purification-based error mitigation. Lastly, we identify techniques that may decrease both metrics, such as increasing the dimensionality of the dynamical Lie algebra by gate insertions or randomised compiling.
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