在量子算法中的状态准备,用于基于碎片的量子化学.
Ruhee D'Cunha1, Matthew Otten2, Matthew R Hermes1
1Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States.
Journal of chemical theory and computation
|April 12, 2024
概括
准备量子算法状态是量子化学的关键. 直接初始化 (DI) 对小碎片有效,而量子相估计 (QPE) 适合较大的碎片,优化量子化学计算.
科学领域:
- 量子计算是一种量子计算.
- 量子化学 是一个量子化学.
- 计算科学 计算科学
背景情况:
- 准确的状态准备对于量子化学中的量子算法至关重要.
- 局部化的活跃空间-单元合集群 (LAS-UCC) 算法使用基于片段的波函数进行量子计算.
研究的目的:
- 为了比较量子相估计 (QPE) 和直接初始化 (DI) 在LAS-UCC算法中的状态准备.
- 在不同化学系统中分析QPE和DI的资源需求和效率.
主要方法:
- 实施和评估QPE和DI用于基于碎片的波函数的状态准备.
- 在模型系统 (分子) 上测试的方法,转化丁C-C键破解和双金属旋转梯.
- 分析了QPE参数 (ancilla qubits,Trotter步骤) 对状态准备精度和资源使用的影响.
主要成果:
- 观察到一个权衡:DI对于较小的碎片是资源高效的,而QPE对于较大的碎片更有效.
- 资源估计表明了系统碎片化对国家准备的优势.
- 方法的选择取决于碎片的大小和所需的准确性.
结论:
- 碎片化策略显著有利于为量子化学计算做好状态准备.
- 在量子计算机上,QPE和DI为准备多引用波函数提供了互补的方法.
- 研究结果支持将这些方法用于使用量子电路进行现实的化学模拟.
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