优化的量子折叠巴雷特减小对于量子模块乘法器
Jian Zhang1, Seong-Min Cho1, Changyeol Lee1
1Department of Electrical Engineering, Graduate School of Hanyang University, Seoul, 04763, South Korea.
Scientific reports
|July 2, 2025
概括
我们使用巴雷特还原开发了一种优化的量子模块化乘法电路. 这种新方法显著降低了电路复杂性和T-深度,提高了量子计算的性能.
科学领域:
- 量子计算是一种量子计算.
- 量子算法 量子算法 量子算法
- 模块化算术是一种模块化算术.
背景情况:
- 量子电路设计在模块化操作中面临限制,原因是可逆性约束.
- 有效的模块式乘法对于各种量子算法和加密应用至关重要.
研究的目的:
- 提出并实施基于巴雷特减小的优化量子模块化操作方案.
- 为了减少量子模块化乘法电路的T-深度和资源要求.
主要方法:
- 实现了三种用于巴雷特减小的量子电路版本,包括一种优化的折叠方法.
- 分析了每个版本的量子资源需求 (门数,量子比特使用量) 和T-深度.
- 将拟议优化方案的性能与现有方法进行了比较.
主要成果:
- 优化的折叠巴雷特减速方案表现出卓越的性能.
- 与传统方法相比,T-深度大约为[公式:参见文本]的T-深度显著减少.
- 拟议的电路与量子-量子和量子-经典乘法兼容.
结论:
- 优化的巴雷特减小方案为量子模块乘法提供了更有效的解决方案.
- 这一进步可以提高复杂的量子算法的可行性,需要模块化算术.
- 减少电路复杂性为更可扩展的量子计算应用铺平了道路.
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