Performance and scaling analysis of variational quantum simulation

Abstract We present an empirical analysis of the scaling of the minimal quantum circuit depth required for a variational quantum simulation (VQS) method to obtain a solution to the time evolution of a quantum system within a predefined error tolerance. In a comparison against a non-variational method based on Trotterized time evolution, we observe similar scaling behaviours of the depth requirements of VQS and Trotter when the size of the system and the simulated time grow linearly. Results are also put into perspective by discussing the corresponding classical complexity required for VQS. Our results allow us to identify a possible advantage region for VQS over Trotterization.

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Publication Details

Journal
Quantum Science and Technology
Published
2024-11-05
DOI
https://doi.org/10.1088/2058-9565/ad8eee
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.35
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article

Performance and scaling analysis of variational quantum simulation

Martin Leib, Mario Ponce-Martinez, Thomas Cope, Inés de Vega
1 citations
Quantum Science and Technology
Quantum Computing Algorithms and Architecture
0.35
article

Performance and scaling analysis of variational quantum simulation

Martin Leib, Mario Ponce-Martinez, Thomas Cope, Inés de Vega
article en
1 citations

Abstract

Abstract We present an empirical analysis of the scaling of the minimal quantum circuit depth required for a variational quantum simulation (VQS) method to obtain a solution to the time evolution of a quantum system within a predefined error tolerance. In a comparison against a non-variational method based on Trotterized time evolution, we observe similar scaling behaviours of the depth requirements of VQS and Trotter when the size of the system and the simulated time grow linearly. Results are also put into perspective by discussing the corresponding classical complexity required for VQS. Our results allow us to identify a possible advantage region for VQS over Trotterization.

Quantum Science and TechnologyVol. 10(1)
Ludwig-Maximilians-Universität München (DE)
Openalex Percentile: Top 32%
Quantum Computing Algorithms and Architecture
0.35
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Performance and scaling analysis of variational quantum simulation — Martin Leib, Mario Ponce-Martinez, et al. · Quantum Science and Technology (2024) | TGRS Research Map | TGRS