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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.

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概括
此摘要是机器生成的。

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.

关键词:
电子结构量子计算变量量子算法

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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.