Variational Transformer Ansatz for the Density Operator of Steady States in Dissipative Quantum Many-Body Systems

Fuente: arXiv
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Auteurs principaux: Wei, Lu, Jia, Zhian, Wang, Yufeng, Kaszlikowski, Dagomir, Ling, Haibin
Format: Preprint
Publié: 2025
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author Wei, Lu
Jia, Zhian
Wang, Yufeng
Kaszlikowski, Dagomir
Ling, Haibin
author_facet Wei, Lu
Jia, Zhian
Wang, Yufeng
Kaszlikowski, Dagomir
Ling, Haibin
contents The transformer architecture, known for capturing long-range dependencies and intricate patterns, has extended beyond natural language processing. Recently, it has attracted significant attention in quantum information and condensed matter physics. In this work, we propose the \textit{transformer density operator ansatz} for determining the steady states of dissipative quantum many-body systems. By vectorizing the density operator as a many-body state in a doubled Hilbert space, the transformer encodes the amplitude and phase of the state's coefficients, with its parameters serving as variational variables. Our design preserves translation invariance while leveraging attention mechanisms to capture diverse long-range correlations. We demonstrate the effectiveness of our approach by numerically calculating the steady states of dissipative Ising and Heisenberg spin chain models, showing that our method achieves excellent accuracy in predicting mixed steady states.
format Preprint
id arxiv_https___arxiv_org_abs_2502_20723
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Variational Transformer Ansatz for the Density Operator of Steady States in Dissipative Quantum Many-Body Systems
Wei, Lu
Jia, Zhian
Wang, Yufeng
Kaszlikowski, Dagomir
Ling, Haibin
Quantum Physics
Disordered Systems and Neural Networks
Strongly Correlated Electrons
Computational Physics
The transformer architecture, known for capturing long-range dependencies and intricate patterns, has extended beyond natural language processing. Recently, it has attracted significant attention in quantum information and condensed matter physics. In this work, we propose the \textit{transformer density operator ansatz} for determining the steady states of dissipative quantum many-body systems. By vectorizing the density operator as a many-body state in a doubled Hilbert space, the transformer encodes the amplitude and phase of the state's coefficients, with its parameters serving as variational variables. Our design preserves translation invariance while leveraging attention mechanisms to capture diverse long-range correlations. We demonstrate the effectiveness of our approach by numerically calculating the steady states of dissipative Ising and Heisenberg spin chain models, showing that our method achieves excellent accuracy in predicting mixed steady states.
title Variational Transformer Ansatz for the Density Operator of Steady States in Dissipative Quantum Many-Body Systems
topic Quantum Physics
Disordered Systems and Neural Networks
Strongly Correlated Electrons
Computational Physics
url https://arxiv.org/abs/2502.20723