在非单元噪声下通过保利逆向传播有效模拟参数化量子电路
Victor Martinez1,2, Armando Angrisani3,4, Ekaterina Pankovets3,4
1IBM France, Avenue de l'Europe, 92275 Bois-Colombes, France.
Physical review letters
|July 31, 2025
概括
帕利反向传播算法现在可以高效地模拟具有现实的噪声的量子电路. 这一进步对于在当前量子硬件上实现短期量子优势至关重要.
科学领域:
- 量子计算是一种量子计算.
- 计算复杂性 计算复杂性
背景情况:
- 量子设备正在增长,但易受噪声的影响,这限制了它们与传统计算机的实用优势.
- 高效的经典模拟算法对于评估量子设备功能至关重要.
- 保利反向传播在特定噪声模型下模拟参数化量子电路方面表现有前途.
研究的目的:
- 为非单元噪声模型调整保利反向传播算法.
- 在现实的噪声条件下确定保利反向传播的效率.
- 为了增强近期量子设备的模拟.
主要方法:
- 调整保利反向传播算法以处理非单元噪声通道.
- 采用精细的组合分析来管理噪音复杂性.
- 分析适应模拟算法的效率.
主要成果:
- 帕利反向传播即使在非单元噪声下也保持高效,例如振幅抑制.
- 适应的算法有效地在现实的噪声下模拟参数化量子电路.
- 这项研究验证了保利反向传播对挑战噪声模型的效率.
结论:
- 帕利反向传播是一种强大的工具,用于模拟近期量子设备,以现实的噪音.
- 这项工作加强了经典模拟的潜力,以跟上量子硬件开发的步伐.
- 这些发现对于在不久的将来确定实际的量子优势至关重要.
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