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arXiv 2602.20123quant-ph
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CQM: 量子比特循环映射

CQM: Cyclic Qubit Mappings

University of Texas at Austin(德克萨斯大学奥斯汀分校)

Maxwell Poster, Sayam Sethi, Jonathan Baker

AI总结:

CQM通过动态重新映射技术缓解硬件异质性,通过扩展和收缩逻辑量子比特来平均逻辑错误率,同时具有低开销和高效资源利用。

摘要:

量子计算机显示出解决某些在经典计算机上无法处理的问题的潜力。然而,当前的噪声中等规模量子(NISQ)设备容易受到各种误差源的影响。量子误差校正(QEC)显示了朝着容错量子计算的道路的前景。表面码,特别是,因其作为量子误差校正码的有效性而成为文献中的普遍选择,并且可以通过晶格手术操作执行量子电路。晶格手术还允许逻辑量子比特在架构中移动,如果空间允许的话。近期内的演示硬件在空间和时间上都有变化的误差结果,影响逻辑量子比特。通过将逻辑量子比特移动到拓扑结构中,可以强制平均逻辑错误率(LER)。我们提出了量子比特循环映射(CQM),这是一种在编译过程中实现的动态重新映射技术,通过扩展和收缩逻辑量子比特来缓解硬件异质性。除了平均LER之外,CQM还显示出初步的前景,因为它具有最小的执行时间开销和有效的资源利用率。

英文摘要:

Quantum computers show promise to solve select problems otherwise intractable on classical computers. However, noisy intermediate-scale quantum (NISQ) era devices are currently prone to various sources of error. Quantum error correction (QEC) shows promise as a path towards fault tolerant quantum computing. Surface codes, in particular, have become ubiquitous throughout literature for their efficacy as a quantum error correcting code, and can execute quantum circuits via lattice surgery operations. Lattice surgery also allows for logical qubits to maneuver around the architecture, if there is space for it. Hardware used for near-term demonstrations have both spatially and temporally varying error results in logical qubits. By maneuvering logical qubits around the topology, an average logical error rate (LER) can be enforced. We propose cyclic qubit mappings (CQM), a dynamic remapping technique implemented during compilation to mitigate hardware heterogeneity by expanding and contracting logical qubits. In addition to LER averaging, CQM shows initial promise given it's minimal execution time overhead and effective resource utilization.

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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