arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2502.03462quant-ph
收藏

高效 Lindblad 合成用于噪声模型构建

Efficient Lindblad synthesis for noise model construction

IBM Thomas J. Watson Research Center(IBM 托马斯·J·沃森研究中心);IBM Quantum, IBM Canada(IBM 量子,IBM 加拿大);IBM Quantum, Almaden Research Center(IBM 量子,阿尔马登研究中心)

Moein Malekakhlagh, Alireza Seif, Daniel Puzzuoli, Luke C. G. Govia, Ewout van den Berg

AI总结:

本文提出一种高效构建噪声模型的方法,通过Lindbladian描述物理噪声过程,结合Magnus展开和Dyson级数,实现多量子位门的噪声通道近似,揭示噪声参数与物理噪声参数的关系。

摘要:

有效的噪声模型对于分析和理解量子系统动力学至关重要,特别是在量子错误缓解和纠正应用中。然而,即使噪声过程在孤立情况下被良好表征,影响目标量子操作的有效噪声通道可能差异显著,因为不同门经历噪声的方式不同。本文提出了一种噪声模型构建方法,从同时作用于目标门操作的Lindbladian描述中构建有效模型。该方法利用Magnus展开和Dyson级数,可用于低阶符号和高阶数值近似多量子位门的噪声通道。我们设想了该噪声构建方法的多种应用场景,如(i)从学习的Lindbladian计算相应的噪声通道,以及(ii)基于物理动机的Lindbladian生成给定硬件架构的噪声通道。通过这种方式,我们缩小了物理Lindbladian与操作层面噪声模型参数之间的差距。我们展示了我们的符号噪声构建与完整数值Lindblad模拟在各种两量子位门、孤立和三、四量子位场景中的一致性,对于多种物理动机的噪声源。我们的符号构建提供了噪声模型参数如何依赖于底层物理噪声参数的有用分解,从而为误差结构提供定性见解。例如,我们的理论提供了Lindblad噪声与预期门操作相互作用的见解,并可以预测局部Lindblad噪声如何有效扩散成多量子位误差。

英文摘要:

Effective noise models are essential for analyzing and understanding the dynamics of quantum systems, particularly in applications like quantum error mitigation and correction. However, even when noise processes are well-characterized in isolation, the effective noise channels impacting target quantum operations can differ significantly, as different gates experience noise in distinct ways. Here, we present a noise model construction method that builds an effective model from a Lindbladian description of the physical noise processes acting simultaneously to the desired gate operation. It employs the Magnus expansion and Dyson series, and can be utilized for both low-order symbolic and high-order numerical approximations of the noise channel of a multi-qubit quantum gate. We envision multiple use cases of our noise construction method such as (i) computing the corresponding noise channel from a learned Lindbladian, and (ii) generating the noise channel starting with physically motivated Lindbladians for a given hardware architecture. In doing so, we close the gap between physical Lindbladians and operational level noise model parameters. We demonstrate a strong agreement between our symbolic noise construction and full numerical Lindblad simulations for various two-qubit gates, in isolation and in three- and four-qubit scenarios, for a variety of physically motivated noise sources. Our symbolic construction provides a useful breakdown of how noise model parameters depend on the underlying physical noise parameters, which gives qualitative insight into the structure of errors. For instance, our theory provides insight into the interplay of Lindblad noise with the intended gate operations, and can predict how local Lindblad noise can effectively spread into multi-qubit error.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑