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用迪拉克马矩阵表示方法减轻量子错误的非马科夫代价函数
1Department of Electrical and Computer Engineering, University of Seoul, 163 Seoulsiripdae-Ro, Tongdaimoon-Gu, Seoul, 02504, Republic of Korea. dahn@uos.ac.kr.
Scientific reports
|November 17, 2023
概括
这项研究介绍了对噪音较大的量子计算机的非马科夫量子误差缓解 (QEM) 成本函数. 它将环境合的强度与QEM的有效性联系在一起,这对推动量子计算至关重要.
科学领域:
- 量子信息科学 量子信息科学
- 量子计算是一种量子计算.
- 量子错误减轻的方法
背景情况:
- 噪音中等尺度量子 (NISQ) 设备需要有效的量子误差缓解 (QEM).
- 在固态量子计算机中普遍存在的非马科夫噪声构成了重大挑战.
- 了解环境相互作用是提高量子状态保真性的关键.
研究的目的:
- 为了研究量子误差缓解的非马科夫成本函数.
- 在非马科夫噪声下建模量子态演变.
- 在QEM中使用迪拉克马矩阵来分析两个量子比特运算符.
主要方法:
- 开发了一种非马科夫的量子态演化模型.
- 提出了一个基于非马科夫模型的QEM成本函数.
- 采用迪拉克马矩阵来表示和分析两个量子比特运算符.
- 评估了对身份和SWAP门的输出量子状态波动.
- 将模拟结果与来自离子陷和超导系统的实验数据进行比较.
主要成果:
- 建立了环境合强度和QEM成本函数之间的直接关系.
- 证明了玛矩阵在分析两量子比特运算符中的实用性.
- 通过与实验数据进行比较,推导出基本的QEM成本函数参数.
- 量化了非马科夫噪声对量子态演化的影响.
结论:
- 非马科夫模型对于准确的量子态演化分析至关重要.
- 拟议的QEM成本函数有效地评估了缓解策略.
- 结果为改善NISQ设备中的QEM提供了洞察力.
- 环境合是QEM性能的一个关键因素.
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