肖尔因子分解算法的容错高效结构

M. Whitney, Nemanja Isailovic, Yatish Patel, J. Kubiatowicz
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引用次数: 53

摘要

我们优化了Shor分解的面积和延迟,同时通过以下方式提高容错性:(1)平衡辅助生成器的使用,(2)积极优化纠错,(3)调整核心加法器电路。我们的定制CAD流程生成物理组件的详细布局,并利用仿真来分析电路的面积,延迟和成功概率。我们引入一个称为ADCR的度量,它是经典区域延迟积的概率等价。我们的误差校正优化可以将ADCR降低一个数量级或更多。与传统观点相反,我们表明优化量子电路的区域并不完全由误差校正控制。此外,我们的加法器评估表明,量子进位前瞻加法器(QCLA)在ADCR中优于波纹进位加法器,尽管它更大更复杂。我们得出的结论是我们认为1024位Shor分解所需的面积和延迟最准确的估计之一:最小电路为7659 mm2,最快电路为6 x 108秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fault tolerant, area efficient architecture for Shor's factoring algorithm
We optimize the area and latency of Shor's factoring while simultaneously improving fault tolerance through: (1) balancing the use of ancilla generators, (2) aggressive optimization of error correction, and (3) tuning the core adder circuits. Our custom CAD flow produces detailed layouts of the physical components and utilizes simulation to analyze circuits in terms of area, latency, and success probability. We introduce a metric, called ADCR, which is the probabilistic equivalent of the classic Area-Delay product. Our error correction optimization can reduce ADCR by order of magnitude or more. Contrary to conventional wisdom, we show that the area of an optimized quantum circuit is not dominated exclusively by error correction. Further, our adder evaluation shows that quantum carry-lookahead adders (QCLA) beat ripple-carry adders in ADCR, despite being larger and more complex. We conclude with what we believe is one of most accurate estimates of the area and latency required for 1024-bit Shor's factorization: 7659 mm2 for the smallest circuit and 6 x 108 seconds for the fastest circuit.
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