Computational Assessment of Silicon Quantum Gate Based on Detuning Mechanism for Quantum Computing

Computational Assessment of Silicon Quantum Gate Based on Detuning Mechanism for Quantum Computing
复制标题

基于量子计算失谐机制的硅量子门计算评估

DOI:
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发表时间:
2018
影响因子:
3.1
通讯作者:
Jing Guo
Jing Guo
中科院分区:
工程技术2区
文献类型:
--
作者:
Tong Wu;Jing Guo

文献摘要

被引文献

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硅基量子计算具有低成本、高集成度和与CMOS技术兼容的潜在优势。失谐机制已被用于实验实现硅双量子比特量子门和可编程量子处理器。本文通过对一个基于失谐机制的硅量子门模型的数值模拟,研究了量子门的标度行为和可变性问题。量子门调制的设备物理,设备速度和量子保真度之间的权衡,以及可变性对量子算法实现的影响进行了研究。结果表明,在低工作电压下实现高速、保真度的硅量子门具有诱人的潜力。为了扩大规模,减少器件的可变性和减轻可变性效应被确定为是不可缺少的,以可靠地实现基于失谐机制的硅量子门的量子计算算法。提出了一种使用控制电子学来减轻量子门可变性的方案。
Silicon-based quantum computing has the potential advantages of low cost, high integration density, and compatibility with CMOS technologies. The detuning mechanism has been used to experimentally achieve silicon two-qubit quantum gates and programmable quantum processors. In this paper, the scaling behaviors and variability issues are explored by numerical device simulations of a model silicon quantum gate based on the detuning mechanism. The device physics of quantum gates modulation, tradeoff between device speed and quantum fidelity, and impact of variability on the implementation of a quantum algorithm are examined. The results indicate the attractive potential to achieve high speed and fidelity silicon quantum gates with a low operation voltage. To scale up, reducing the device variability and mitigating the variability effect are identified to be indispensable for reliable implementing a quantum computing algorithm with the silicon quantum gates based on the detuning mechanism. A scheme to use the control electronics for mitigating the variability of quantum gates is proposed.