在近期量子计算机上编制架构特定的图形状态的硬件效率高
Sebastian Brandhofer1,2, Ilia Polian1,2, Stefanie Barz2,3
1Institute of Computer Architecture and Computer Engineering, University of Stuttgart, 70569, Stuttgart, Germany.
Scientific reports
|January 15, 2025
概括
这项研究引入了一种新的编译方法,用于量子计算创建高度纠的量子状态. 这种方法显著减少了错误,提高了当前量子硬件上的图形状态的准确性.
科学领域:
- 量子计算是一种量子计算.
- 量子信息科学 量子信息科学
背景情况:
- 准备高度纠的量子状态对于量子计算应用至关重要.
- 当前量子硬件中的错误限制了这些纠状态的忠实性和规模.
- 专门的编译方法可以在近期量子计算机上改进纠状态准备.
研究的目的:
- 开发一种优化的编译方法,用于准备特定架构的图形状态.
- 为了解决在杂的量子硬件上准备高度纠状态的局限性.
主要方法:
- 定义了用于量子电路编译的离散约束优化的正式模型.
- 在优化模型中整合了网关取消,换算和准确的网关定时.
- 使用稳定器测量和忠实度计算量化状态质量.
主要成果:
- 与Qiskit相比,在七个量子比特图形状态中,平均减少了3.5倍的错误.
- 线性八量子比特图形状态的平均误差减少了6.4倍.
- 证明了用于图形状态准备的改进忠实性和可扩展性.
结论:
- 开发的编译方法提高了纠状态的真实性和规模.
- 这种方法为更强大的量子计算应用提供了途径.
- 该方法有效地减轻了基于网关的量子计算硬件中的错误.
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