Boosted imaginary time evolution of matrix product states

In this work, we consider the imaginary time evolution of matrix product states. We present a quantum-inspired classical method that, when combined with time evolving block decimation (TEBD), is able to potentially speed up the convergence to a ground state compared to TEBD alone. Our method, referred to as boosted imaginary time evolution, relies on the use of reflections to boost to lower energy states. Interleaving TEBD steps with boosts reduces the total number of TEBD steps and potentially the computational cost required to imaginary time evolve a matrix product state to a ground state. We give the mathematical details of the method followed by an algorithmic implementation and finally some results for a simple test case. Published by the American Physical Society 2024

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Journal
Physical review. B./Physical review. B
Published
2024-11-04
DOI
https://doi.org/10.1103/physrevb.110.174302
Primary Topic
Quantum many-body systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Boosted imaginary time evolution of matrix product states

Stefano Mensa, Dilhan Manawadu, Benjamin C. B. Symons, David Galvin
Physical review. B./Physical review. B
Quantum many-body systems
article

Boosted imaginary time evolution of matrix product states

Stefano Mensa, Dilhan Manawadu, Benjamin C. B. Symons, David Galvin
article en

Abstract

In this work, we consider the imaginary time evolution of matrix product states. We present a quantum-inspired classical method that, when combined with time evolving block decimation (TEBD), is able to potentially speed up the convergence to a ground state compared to TEBD alone. Our method, referred to as boosted imaginary time evolution, relies on the use of reflections to boost to lower energy states. Interleaving TEBD steps with boosts reduces the total number of TEBD steps and potentially the computational cost required to imaginary time evolve a matrix product state to a ground state. We give the mathematical details of the method followed by an algorithmic implementation and finally some results for a simple test case. Published by the American Physical Society 2024

Physical review. B./Physical review. BVol. 110(17)
Sci-Tech Daresbury (GB)
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Openalex Percentile: Top 82%
Quantum many-body systems
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