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快速计算的深度热化
Shantanav Chakraborty1, Soonwon Choi2, Soumik Ghosh3
1International Institute of Information Technology Hyderabad, CQST and CSTAR, Hyderabad, Telangana 500032, India.
Physical review letters
|December 5, 2025
概括
研究人员开发了计算深度热化,创造了模仿随机性的低纠量子状态. 这些状态在计算上无法与随机状态区分,即使在测量后,也提供了新的加密可能性.
科学领域:
- 量子信息科学 量子信息科学
- 计算复杂性理论 计算复杂性理论
- 量子密码学 量子密码学
背景情况:
- 深度热化描述了量子系统通过部分测量产生随机性,通常需要高复杂性和纠.
- 现有的模型经常将热化与高度非结构化,复杂的量子状态联系在一起.
研究的目的:
- 介绍并演示计算深度热化.
- 构建高效的量子动力学,表现出深度热化.
- 探索由此过程产生的状态的密码特性.
主要方法:
- 开发具有多边数深度的新型电路动力学.
- 利用对量子状态的部分投影测量.
- 对计算不可区分性和加密安全性分析状态属性.
主要成果:
- 创建了低纠和多边数深度的量子状态.
- 证明这些状态在计算上无法与 Haar 的随机状态区分.
- 展示了这些伪随机和伪纠状态在局部测量下保留属性.
结论:
- 计算深度热化提供了一个新的范式,在结构化量子状态中出现热态行为.
- 资源复杂度低,可以在量子计算机上进行深度热化的可扩展模拟.
- 这项工作将计算量子伪随机性的研究扩展到标准复杂度类之外.
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