在量子误差缓解的限制上,指数式更紧的边界
Yihui Quek1,2, Daniel Stilck França1,3,4, Sumeet Khatri1
1Dahlem Center for Complex Quantum Systems, Freie Universität Berlin, Berlin, Germany.
Nature physics
|October 17, 2024
概括
量子误差缓解在较大的系统中面临局限性. 估计无噪声值需要许多样本,即使在浅电路深度,由于噪声引起的杂乱.
科学领域:
- 量子计算是一种量子计算.
- 量子信息科学 量子信息科学
背景情况:
- 量子误差缓解旨在减少近期量子计算机中的噪声.
- 目前的方法显示成功,但有资源限制.
研究的目的:
- 为更大的系统识别量子误差缓解的局限性.
- 严格分析现有的错误缓解方案.
主要方法:
- 将错误缓解作为统计推理问题的框架.
- 分析样本的复杂性,以估计无声可观测的数据.
主要成果:
- 在最坏的情况下,即使在浅电路深度,也需要超多项式样本.
- 噪音诱导的混杂可能发生在比之前预期的更小的深度.
- 噪音影响量子机器学习和变量量子算法.
结论:
- 量子误差缓解对扩展具有根本的限制.
- 噪音对近期量子应用和实现量子加速提出了重大挑战.
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