通过浅电路对哈密尔顿光谱进行有效的量子估计
Pingyu Zhu1, Chao Wu1, Yang Wang1
1Institute for Quantum Information & State Key Laboratory of High Performance Computing, College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China.
Journal of chemical theory and computation
|February 27, 2025
概括
我们介绍了变量自动解决器 (VRE),这是一个新的量子算法,用于使用浅电路高效地找到量子状态和能量. 这种方法在光子量子硬件上实现了高保真性,为量子计算提供了有前途的方法.
科学领域:
- 量子计算是一种量子计算.
- 量子算法 量子算法 量子算法
- 频谱学是一种光谱学.
背景情况:
- 杂的中级量子 (NISQ) 时代需要资源高效的量子算法.
- 准确估计哈密尔顿光谱对于量子模拟至关重要.
研究的目的:
- 开发一种新的,资源高效的量子算法,用于寻找固有状态和固有值.
- 在光子量子硬件上实验验证拟议的方法.
主要方法:
- 开发了变化的自动解决算法 (VRE).
- 在可编程光子芯片上的实验演示,使用单量子比特激子转移哈密尔顿.
- 使用二量子比特哈密尔顿数量验证可扩展性.
主要成果:
- 在搜索自身状态时,VRE实现了>99%的保真度.
- 用化学准确度估计了自己的价值.
- 通过实验估计了分子哈密尔顿的地面能量.
- 对-离子哈密尔顿的可扩展性进行了数值验证.
结论:
- VRE是用于哈密尔顿光谱估计的系统和高效方法.
- 该方法对NISQ设备和量子化学应用有希望.
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