MPSDynamics.jl: Tensor network simulations for finite-temperature (non-Markovian) open quantum system dynamics

Fuente: arXiv
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Autores principales: Lacroix, Thibaut, Dé, Brieuc Le, Riva, Angela, Dunnett, Angus J., Chin, Alex W.
Formato: Preprint
Publicado: 2024
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author Lacroix, Thibaut
Dé, Brieuc Le
Riva, Angela
Dunnett, Angus J.
Chin, Alex W.
author_facet Lacroix, Thibaut
Dé, Brieuc Le
Riva, Angela
Dunnett, Angus J.
Chin, Alex W.
contents The MPSDynamics.jl package provides an easy to use interface for performing open quantum systems simulations at zero and finite temperatures. The package has been developed with the aim of studying non-Markovian open system dynamics using the state-of-the-art numerically exact Thermalized-Time Evolving Density operator with Orthonormal Polynomials Algorithm (T-TEDOPA) based on environment chain mapping. The simulations rely on a tensor network representation of the quantum states as matrix product states (MPS) and tree tensor network (TTN) states. Written in the Julia programming language, MPSDynamics.jl is a versatile open-source package providing a choice of several variants of the Time-Dependent Variational Principle (TDVP) method for time evolution (including novel bond-adaptive one-site algorithms). The package also provides strong support for the measurement of single and multi-site observables, as well as the storing and logging of data, which makes it a useful tool for the study of many-body physics. It currently handles long-range interactions, time-dependent Hamiltonians, multiple environments, bosonic and fermionic environments, and joint system-environment observables.
format Preprint
id arxiv_https___arxiv_org_abs_2406_07052
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle MPSDynamics.jl: Tensor network simulations for finite-temperature (non-Markovian) open quantum system dynamics
Lacroix, Thibaut
Dé, Brieuc Le
Riva, Angela
Dunnett, Angus J.
Chin, Alex W.
Quantum Physics
Mesoscale and Nanoscale Physics
Chemical Physics
Computational Physics
The MPSDynamics.jl package provides an easy to use interface for performing open quantum systems simulations at zero and finite temperatures. The package has been developed with the aim of studying non-Markovian open system dynamics using the state-of-the-art numerically exact Thermalized-Time Evolving Density operator with Orthonormal Polynomials Algorithm (T-TEDOPA) based on environment chain mapping. The simulations rely on a tensor network representation of the quantum states as matrix product states (MPS) and tree tensor network (TTN) states. Written in the Julia programming language, MPSDynamics.jl is a versatile open-source package providing a choice of several variants of the Time-Dependent Variational Principle (TDVP) method for time evolution (including novel bond-adaptive one-site algorithms). The package also provides strong support for the measurement of single and multi-site observables, as well as the storing and logging of data, which makes it a useful tool for the study of many-body physics. It currently handles long-range interactions, time-dependent Hamiltonians, multiple environments, bosonic and fermionic environments, and joint system-environment observables.
title MPSDynamics.jl: Tensor network simulations for finite-temperature (non-Markovian) open quantum system dynamics
topic Quantum Physics
Mesoscale and Nanoscale Physics
Chemical Physics
Computational Physics
url https://arxiv.org/abs/2406.07052