AI 中文总结
研究量子多体系统在有序和混沌间转变的难题，通过开发并实验实现混合量子 - 经典反馈协议，在超导量子处理器中发现并稳定规则轨迹，揭示量子多体混合相空间，建立相干动力学算法发现与控制框架。
AI 中文摘要
理解复杂系统如何在有序和混沌之间转变是非平衡物理学的核心挑战。经典可积系统的弱扰动会产生共存的规则和混沌轨迹的混合相空间，而相互作用的量子多体系统中的类似行为仍难以捉摸。本文开发并实验实现了一种混合量子 - 经典反馈协议，在超导量子处理器中自主发现并稳定长寿命规则轨迹。每次迭代将短时间量子演化与经典优化相结合，将动力学投影回低纠缠变分流形，从混沌演化中有效提取相干性。稳定轨迹揭示了非线性变分动力学中出现的量子多体混合相空间，在经典或少体量子系统中无直接类似物。结果为算法发现和控制以前实验无法达到的相干动力学建立了通用框架。
英文摘要
Understanding how complex systems transition between order and chaos is a central challenge of nonequilibrium physics. While weak perturbations of classical integrable systems give rise to a mixed phase space of coexisting regular and chaotic trajectories, analogous behavior in interacting quantum many-body systems has remained elusive. Here we develop and experimentally implement a hybrid quantum-classical feedback protocol that autonomously discovers and stabilizes long-lived regular trajectories in a superconducting quantum processor. Each iteration combines short-time quantum evolution with classical optimization that projects the dynamics back onto a low-entanglement variational manifold, effectively distilling coherence from chaotic evolution. The stabilized trajectories reveal a quantum many-body mixed phase space emerging from nonlinear variational dynamics, without a direct analogue in classical or few-body quantum systems. Our results establish a versatile framework for algorithmic discovery and control of coherent dynamics previously inaccessible to experiment.
Comments25 pages, 14 figures
Journal refNature Physics (2026)
DOI：10.1038/s41567-026-03431-z
