利用动态电路进行高保真、多比特广义测量

Petr Ivashkov, Gideon Uchehara, Liang Jiang, Derek S. Wang, Alireza Seif
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摘要

广义测量,又称正算子值测量(POVM),在各种量子信息任务中比投影测量更具优势。在这里,我们在单一实验环境中实现了对一个和两个超导量子比特的高保真广义测量。为此,我们提出了一种混合方法--"奈马克终结二叉树",它基于奈马克扩张和二叉树技术的混合,充分利用了新兴硬件在中电路测量和前馈控制方面的能力。此外,我们还展示了近似编译的高效应用,以提高噪声条件下的 POVM 保真度。我们认为,我们的混合方法比其组成方法能更好地扩展到更大的系统规模,并通过对对称、信息完整的 POVM(SIC POVM)进行检测器层析来证明其优势。探测器的保真度通过综合误差缓解策略得到了进一步提高,该策略结合了旋转和新设计的条件读出误差缓解技术。展望未来,我们希望改进动态电路的近似编译和硬件噪声,从而能够在超导量子比特上对更大的多量子比特 POVM 进行通用测量。
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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High-Fidelity, Multiqubit Generalized Measurements with Dynamic Circuits
Generalized measurements, also called positive operator-valued measures (POVMs), can offer advantages over projective measurements in various quantum information tasks. Here, we realize a generalized measurement of one and two superconducting qubits with high fidelity and in a single experimental setting. To do so, we propose a hybrid method, the “Naimark-terminated binary tree,” based on a hybridization of Naimark’s dilation and binary tree techniques that leverages emerging hardware capabilities for midcircuit measurements and feed-forward control. Furthermore, we showcase a highly effective use of approximate compiling to enhance POVM fidelity in noisy conditions. We argue that our hybrid method scales better toward larger system sizes than its constituent methods and demonstrate its advantage by performing detector tomography of symmetric, informationally complete POVM (SIC POVM). Detector fidelity is further improved through a composite error-mitigation strategy that incorporates twirling and a newly devised conditional readout error mitigation. Looking forward, we expect improvements in approximate compilation and hardware noise for dynamic circuits to enable generalized measurements of larger multiqubit POVMs on superconducting qubits.
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