Enhanced measurements on quantum computers via the simultaneous probing of non-commuting Pauli operators

IF 5.3 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY
Quantum Pub Date : 2026-10-07 DOI:10.22331/q-2026-10-07-2229
Rick P. A. Simon,Zheng Shi,Charlie Nation,Andrew Jena,Luca Dellantonio
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引用次数: 0

Abstract

Measuring the state of quantum computers is a highly non-trivial task, with implications for virtually all quantum algorithms. A promising avenue is multi-copy schemes, where identical copies of a quantum state are measured jointly so that all Pauli operators within the considered observable can be simultaneously assessed. Here, we present a first implementation of such a two-copy scheme in a measurement protocol. Based on Bayesian statistics, it accurately estimates not only the average of the desired observable but also the error en route. This enables an adaptive shot-allocation algorithm that preferentially samples the most uncertain Pauli terms. In regimes with many non-commuting Pauli operators, this “double'' scheme can outperform the state-of-the-art measurement protocol in minimizing total shots for a given precision. We also numerically confirm the finding in previous theoretical works that the two-copy scheme incurs an overhead due to the square-root relationship between the variance of measured quantities and the number of measurement shots.
通过同时探测非交换泡利算子增强量子计算机上的测量
测量量子计算机的状态是一项非常重要的任务,对几乎所有的量子算法都有影响。一个有希望的途径是多拷贝方案,其中量子态的相同副本被联合测量,以便可以同时评估考虑的可观察到的所有泡利算子。在这里,我们提出了这种双副本方案在测量协议中的第一个实现。基于贝叶斯统计,它不仅能准确估计期望观测值的平均值,还能准确估计途中的误差。这使得自适应投篮分配算法能够优先对最不确定的泡利项进行采样。与许多non-commuting保利运营商政权,这种“double& apo, apo;方案可以胜过最先进的测量协议在最小化总射击给定精度。我们还在数值上证实了先前理论工作中的发现,即由于测量量的方差与测量射击次数之间的平方根关系,双副本方案会产生开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Quantum
Quantum Physics and Astronomy-Physics and Astronomy (miscellaneous)
CiteScore
9.20
自引率
10.90%
发文量
241
审稿时长
16 weeks
期刊介绍: Quantum is an open-access peer-reviewed journal for quantum science and related fields. Quantum is non-profit and community-run: an effort by researchers and for researchers to make science more open and publishing more transparent and efficient.
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