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arXiv 2409.02575quant-phphysics.chem-ph
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近中期量子硬件上高精度测量的实用技术及其在分子能量估计中的应用

Practical techniques for high-precision measurements on near-term quantum hardware and applications in molecular energy estimation

Keijo Korhonen, Hetta Vappula, Adam Glos, Marco Cattaneo, Zoltán Zimborás, Elsi-Mari Borrelli, Matteo A. C. Rossi, Guillermo García-Pérez, Daniel Cavalcanti

备注：
12 pages, 5 figures. v2: This is a revised version reflecting the peer-reviewed and published article
发表信息：
npj Quantum Information 11, 110 (2025)
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AI总结：

本文针对近中期量子设备的高读出误差问题，提出局部偏置随机测量、并行量子探测器层析成像和混合调度三种实用技术，并在IBM Eagle r3上对BODIPY分子进行能量估计，将测量误差从1-5%降至0.16%。

摘要：

在近中期量子设备上实现高精度测量对于推进量子计算应用至关重要。量子计算机存在较高的读出误差，这使得对精度要求很高的量子模拟尤其具有挑战性。本文通过解决关键开销和噪声源，实现了达到量子化学所需精度的实用技术。具体而言，我们利用局部偏置随机测量来降低发射开销，利用并行量子探测器层析成像的重复设置来降低电路开销并缓解读出误差，并利用混合调度来缓解时间相关噪声。我们通过在IBM Eagle r3上对处于Hartree-Fock态的BODIPY分子进行分子能量估计来演示这些技术，将测量误差降低了一个数量级，从1-5%降至0.16%。这些策略为更可靠的量子计算铺平了道路，特别是对于需要精确分子能量计算的应用。

英文摘要：

Achieving high-precision measurements on near-term quantum devices is critical for advancing quantum computing applications. Quantum computers suffer from high readout errors, making quantum simulations with high accuracy requirements particularly challenging. This paper implements practical techniques to reach accuracies essential for quantum chemistry by addressing key overheads and noise sources. Specifically, we leverage locally biased random measurements for reducing shot overhead, repeated settings with parallel quantum detector tomography for reducing circuit overhead and mitigating readout errors, and blended scheduling for mitigating time-dependent noise. We demonstrate these techniques via molecular energy estimation of the BODIPY molecule on a Hartree-Fock state on an IBM Eagle r3, obtaining a reduction in measurement errors by an order of magnitude from 1-5% to 0.16%. These strategies pave the way for more reliable quantum computations, particularly for applications requiring precise molecular energy calculations.

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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