Quantum many-body simulations with PauliStrings.jl

We present the Julia package PauliStrings.jl for quantum many-body simulations, which performs fast operations on the Pauli group by encoding Pauli strings in binary. All of the Pauli string algebra is encoded into low-level logic operations on integers, and is made efficient by various truncation methods which allow for systematic extrapolation of the results. We illustrate the effectiveness of our package by (i) performing Heisenberg time evolution through direct numerical integration and (ii) by constructing a Liouvillian Krylov space. We benchmark the results against tensor network methods, and we find our package performs favorably. In addition, we show that this representation allows for easy encoding of any geometry. We present results for chaotic and integrable spin systems in 1D as well as some examples in 2D. Currently, the main limitations are the inefficiency of representing non-trivial pure states (or other low-rank operators), as well as the need to introduce dissipation to probe long-time dynamics.

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Publication Details

Journal
SciPost Physics Codebases
Published
2025-03-24
DOI
https://doi.org/10.21468/scipostphyscodeb.54
Citations
7
Primary Topic
Quantum many-body systems
Type
article
Field-Weighted Citation Impact
8.73

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article

Quantum many-body simulations with PauliStrings.jl

Nicolas Loizeau, Dries Sels, J. Clayton Peacock
7 citations
SciPost Physics Codebases
Quantum many-body systems
8.73
article

Quantum many-body simulations with PauliStrings.jl

Nicolas Loizeau, Dries Sels, J. Clayton Peacock
article en
7 citations

Abstract

We present the Julia package PauliStrings.jl for quantum many-body simulations, which performs fast operations on the Pauli group by encoding Pauli strings in binary. All of the Pauli string algebra is encoded into low-level logic operations on integers, and is made efficient by various truncation methods which allow for systematic extrapolation of the results. We illustrate the effectiveness of our package by (i) performing Heisenberg time evolution through direct numerical integration and (ii) by constructing a Liouvillian Krylov space. We benchmark the results against tensor network methods, and we find our package performs favorably. In addition, we show that this representation allows for easy encoding of any geometry. We present results for chaotic and integrable spin systems in 1D as well as some examples in 2D. Currently, the main limitations are the inefficiency of representing non-trivial pure states (or other low-rank operators), as well as the need to introduce dissipation to probe long-time dynamics.

SciPost Physics Codebases
Flatiron Health (United States) (US), Flatiron Institute (US), New York University (US)
National Science Foundation, New York University, Villum Fonden, Air Force Office of Scientific Research
Openalex Percentile: Top 2%
Quantum many-body systems
8.73
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