变量量子电路的替代优化
Erik J Gustafson1, Juha Tiihonen2, Diana Chamaki3
1Universities Space Research Association, Research Institute for Advanced Computer Science at NASA Ames Research Center, Moffett Field, CA 94035.
概括
本研究引入了替代优化方法来提高变量量子自溶解器 (VQE) 的性能. 通过使用经典模拟器来近似Hessian, 它加速了杂的量子计算的融合.
科学领域:
- 量子计算
- 计算物理
- 优化算法
背景情况:
- 变量量子自溶器 (VQE) 是一个有希望的近期量子算法.
- 目前的VQE方法在杂的环境中面临优化挑战,限制了实际应用和量子优势要求.
- 改善融合对于加速近期量子硬件的能力至关重要.
研究的目的:
- 为变量量子算法开发和演示一种新的替代优化方法.
- 解决在噪声存在时对VQE进行优化融合的挑战.
- 提高混合量子古典方法的效率和适用性.
主要方法:
- 使用现代电路模拟和随机经典优化技术.
- 开发了一个替代优化方法,将经典 (CPU/GPU) 近似状态向量模拟器与量子处理单元 (QPU) 结合起来.
- 采用通过经典模拟计算的近似Hessian作为量子或精确电路模拟器的输入,实现跨QPU的并行化.
主要成果:
- 成功实施了量子电路的替代优化方法.
- 证明了采用和不采用噪声的方法的有效性.
- 在40量子比特处理单元上进行了原则证明演示.
结论:
- 替代优化方法显著改善了变量量子算法的融合.
- 这种方法为VQE和其他混合优化任务加速近期量子硬件能力提供了可行的策略.
- 该方法的可并行性使其适用于跨多个量子处理单元的扩展.
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