量子增强的贪的组合优化解决方案
Maxime Dupont1, Bram Evert1, Mark J Hodson1
1Rigetti Computing, Berkeley, CA 94710, USA.
Science advances
|November 10, 2023
概括
一个用于组合优化的新量子算法显示了比经典方法的量子增强. 在72量子比特系统上实现,它提供了与最先进的技术相匹敌的性能,尽管硬件噪声挑战.
科学领域:
- 量子计算是一种量子计算.
- 组合优化的优化.
- 量子算法中的量子算法
背景情况:
- 在组合优化的量子优势仍然难以捉摸.
- 量子硬件噪声是一个重大挑战.
- 需要复杂的量子古典算法.
研究的目的:
- 介绍一个代量子启发式优化算法.
- 解决组合优化问题.
- 在杂的硬件中研究量子增强.
主要方法:
- 开发了一种代量子启发式优化算法.
- 在72量子比特超导量子系统上实现了算法.
- 在Sherrington-Kirkpatrick Ising旋转玻璃问题上进行了测试.
主要成果:
- 量子算法表现优于其经典的贪对应.
- 在解决优化问题时观察到量子增强.
- 实现了与最先进的半确定的编程可比的性能.
结论:
- 开发的量子算法证明了量子增强.
- 提高量子设备特性是实现完全量子优势的关键.
- 该算法在解决复杂的优化任务方面表现有前途.
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