通过线性编程在区块不变对称移位 (BLISS) 方法中对电子汉密尔顿式1-规范的全球最小化
Smik Patel1,2, Aritra Sankar Brahmachari3, Joshua T Cantin1,2
1Chemical Physics Theory Group, Department of Chemistry, University of Toronto, Toronto, Ontario, Canada M5S 3H6.
Journal of chemical theory and computation
|January 13, 2025
概括
我们为区块不变对称移位 (BLISS) 技术提出了一种新的线性编程方法,大大降低了量子计算的计算成本. 这种优化保证了最佳性,使更高效的哈密尔顿模拟和改进的量子算法成为可能.
科学领域:
- 量子计算是一种量子计算.
- 计算化学是一种计算化学.
- 量子算法中的量子算法
背景情况:
- 在使用线性单元组合 (LCU) 的数字量子计算机中,编码系统哈密尔顿式的成本与LCU扩展的1-规范成正比.
- 区块不变对称移位 (BLISS) 技术旨在通过修改特定电子数子空间上的哈密尔顿作用来降低这一成本.
研究的目的:
- 为BLISS技术引入一个计算效率高和最佳的方法.
- 将BLISS优化问题重新定义为线性编程问题.
主要方法:
- 将BLISS优化问题重新构成一个线性编程问题.
- 将优化的BLISS技术应用于具有多达76个轨道的活性空间的同质催化剂.
主要成果:
- 与以前的非线性优化方法相比,线性编程方法保证了最佳性,并大大降低了计算成本.
- 修改后的哈密尔顿数和保利和费米子LCU的1规范的光谱范围中观察到实质性的减少.
- 该方法已成功应用于工业相关的同质催化剂.
结论:
- 基于线性编程的BLISS可以在数字量子计算机上实现更高效的哈密尔顿模拟.
- 减少的光谱范围有助于改进LCU的分组,进一步降低成本.
- 这一进步对于在计算化学和材料科学中扩展量子模拟至关重要.
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