Characterizing many-body dynamics with projected ensembles on a superconducting quantum processor

Quantum simulators allow the experimental exploration of nonequilibrium quantum many-body dynamics, which have traditionally been characterized through expectation values or entanglement measures, based on density matrices of the system. Recently, a more general framework for studying quantum many-body systems based on projected ensembles has been introduced, revealing quantum phenomena, such as deep thermalization in chaotic systems. Here, we experimentally investigate a chaotic quantum many-body system using projected ensembles on a three-dimensional-integrated frequency-tunable superconducting processor, enabling both high-fidelity control and scalable architecture. Our results provide direct evidence of deep thermalization by observing a Haar-distributed projected ensemble for the steady states within a charge-conserved sector. Moreover, by introducing an ensemble-averaged entropy as a metric, we establish a benchmark for many-body information leakage from the system to its environment. Our work paves the way for studying quantum many-body dynamics using projected ensembles, and the scalability of our benchmark method represents a notable advance toward quantum computation and simulation.

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Publication Details

Journal
Science Advances
Published
2026-03-27
DOI
https://doi.org/10.1126/sciadv.aeb8213
Primary Topic
Quantum many-body systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Characterizing many-body dynamics with projected ensembles on a superconducting quantum processor

Zi-Yong Ge, Yasunobu Nakamura, Rui Li, Yu-Ran Zhang et al.
Science Advances
Quantum many-body systems
article

Characterizing many-body dynamics with projected ensembles on a superconducting quantum processor

Zi-Yong Ge, Yasunobu Nakamura, Rui Li, Yu-Ran Zhang, Zhiguang Yan, Franco Nori
article en

Abstract

Quantum simulators allow the experimental exploration of nonequilibrium quantum many-body dynamics, which have traditionally been characterized through expectation values or entanglement measures, based on density matrices of the system. Recently, a more general framework for studying quantum many-body systems based on projected ensembles has been introduced, revealing quantum phenomena, such as deep thermalization in chaotic systems. Here, we experimentally investigate a chaotic quantum many-body system using projected ensembles on a three-dimensional-integrated frequency-tunable superconducting processor, enabling both high-fidelity control and scalable architecture. Our results provide direct evidence of deep thermalization by observing a Haar-distributed projected ensemble for the steady states within a charge-conserved sector. Moreover, by introducing an ensemble-averaged entropy as a metric, we establish a benchmark for many-body information leakage from the system to its environment. Our work paves the way for studying quantum many-body dynamics using projected ensembles, and the scalability of our benchmark method represents a notable advance toward quantum computation and simulation.

Science AdvancesVol. 12(13)
University of Michigan (US), RIKEN Center for Advanced Photonics (JP), The University of Tokyo (JP), South China University of Technology (CN)
Openalex Percentile: Top 4%
Quantum many-body systems
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Characterizing many-body dynamics with projected ensembles on a superconducting quantum processor — Zi-Yong Ge, Yasunobu Nakamura, et al. · Science Advances (2026) | TGRS Research Map | TGRS