Monte Carlo Simulation of Operator Dynamics and Entanglement in Dual-Unitary Circuits

We investigate operator dynamics and entanglement growth in dual-unitary circuits, a class of locally scrambled quantum systems that enables efficient simulation beyond the exponential complexity of the Hilbert space. By mapping the operator evolution to a classical Markov process, we perform Monte Carlo simulations to access the time evolution of local operator density and entanglement with polynomial computational cost. Our results reveal that the operator density converges exponentially to a steady-state value, with analytical bounds that match our simulations. Additionally, we observe a volume-law scaling of operator entanglement across different subregions, and identify a critical transition from maximal to sub-maximal entanglement growth, governed by the circuit’s gate parameter. This transition, confirmed by both mean-field theory and Monte Carlo simulations, provides new insights into operator entanglement dynamics in quantum many-body systems. Our work offers a scalable computational framework for studying long-time operator evolution and entanglement, paving the way for deeper exploration of quantum information dynamics.

Authors

Institutions

Publication Details

Journal
Quantum
Published
2025-04-01
DOI
https://doi.org/10.22331/q-2025-04-01-1681
Primary Topic
Quantum many-body systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Monte Carlo Simulation of Operator Dynamics and Entanglement in Dual-Unitary Circuits

Ting-Tung Wang, Zi Yang Meng, Pengfei Zhang, Menghan Song et al.
Quantum
Quantum many-body systems
article

Monte Carlo Simulation of Operator Dynamics and Entanglement in Dual-Unitary Circuits

Ting-Tung Wang, Zi Yang Meng, Pengfei Zhang, Menghan Song, Zhao-Yi Zeng, Yi-Zhuang You
article en

Abstract

We investigate operator dynamics and entanglement growth in dual-unitary circuits, a class of locally scrambled quantum systems that enables efficient simulation beyond the exponential complexity of the Hilbert space. By mapping the operator evolution to a classical Markov process, we perform Monte Carlo simulations to access the time evolution of local operator density and entanglement with polynomial computational cost. Our results reveal that the operator density converges exponentially to a steady-state value, with analytical bounds that match our simulations. Additionally, we observe a volume-law scaling of operator entanglement across different subregions, and identify a critical transition from maximal to sub-maximal entanglement growth, governed by the circuit’s gate parameter. This transition, confirmed by both mean-field theory and Monte Carlo simulations, provides new insights into operator entanglement dynamics in quantum many-body systems. Our work offers a scalable computational framework for studying long-time operator evolution and entanglement, paving the way for deeper exploration of quantum information dynamics.

QuantumVol. 9
Hong Kong University of Science and Technology (HK), Fudan University (CN), University of California San Diego (US), Hefei University (CN), ShangHai JiAi Genetics & IVF Institute (CN), University of Hong Kong (HK)
National Natural Science Foundation of China, Shanghai Rising-Star Program
Openalex Percentile: Top 95%
Quantum many-body systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Monte Carlo Simulation of Operator Dynamics and Entanglement in Dual-Unitary Circuits — Ting-Tung Wang, Zi Yang Meng, et al. · Quantum (2025) | TGRS Research Map | TGRS