Observation of thermalization and information scrambling in a superconducting quantum processor
Qingling Zhu, Zheng-Hang Sun, Ming Gong, Fusheng Chen, Yu-Ran Zhang,, Yulin Wu, Yangsen Ye, Chen Zha, Shaowei Li, Shaojun Guo, Haoran Qian,, He-Liang Huang, Jiale Yu, Hui Deng, Hao Rong, Jin Lin, Yu Xu, Lihua Sun,, Cheng Guo, Na Li, Futian Liang, Cheng-Zhi Peng, Heng Fan

TL;DR
This study demonstrates quantum thermalization and information scrambling in a superconducting qubit ladder, contrasting with non-thermalizing behavior in a 1D chain, thus advancing understanding of non-equilibrium quantum dynamics.
Contribution
First experimental observation of thermalization and scrambling phenomena in a superconducting quantum ladder system, highlighting differences with integrable models.
Findings
Quantum thermalization observed in the $XX$ ladder.
Information scrambling confirmed via tripartite mutual information.
The 1D $XX$ chain does not thermalize or scramble information.
Abstract
Understanding various phenomena in non-equilibrium dynamics of closed quantum many-body systems, such as quantum thermalization, information scrambling, and nonergodic dynamics, is a crucial for modern physics. Using a ladder-type superconducting quantum processor, we perform analog quantum simulations of both the ladder and one-dimensional (1D) model. By measuring the dynamics of local observables, entanglement entropy and tripartite mutual information, we signal quantum thermalization and information scrambling in the ladder. In contrast, we show that the chain, as free fermions on a 1D lattice, fails to thermalize, and local information does not scramble in the integrable channel. Our experiments reveal ergodicity and scrambling in the controllable qubit ladder, and opens the door to further investigations on the thermodynamics and chaos in quantum many-body…
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Taxonomy
TopicsQuantum many-body systems · Quantum Computing Algorithms and Architecture · Neural Networks and Reservoir Computing
