Probabilistic imaginary-time evolution via compiled diagonal representations

We introduce a probabilistic imaginary-time evolution scheme based on a compiled approximate diagonal representation of the Hamiltonian. A basis transformation is optimized offline. For a fixed compiled representation, the online circuit structure and gate count per attempt are independent of the imaginary time, and the same representation can be reused across different input states and evolution times. We derive a condition for enhanced success probability. Numerical tests show reduced online cost relative to termwise Pauli-based methods at a common accuracy threshold. We also examine how approximation errors and offline preparation costs affect the overall benefit.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-29
DOI
https://doi.org/10.48550/arxiv.2610.39600
Primary Topic
Quantum Computing Algorithms and Architecture
Type
preprint
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Probabilistic imaginary-time evolution via compiled diagonal representations

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arXiv (Cornell University)
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preprint

Probabilistic imaginary-time evolution via compiled diagonal representations

Huazhe Lou, Hengyue Li, Jianyong Sheng, Shenggang Ying, Mingyu Huang, Yusheng Yang, Jian Sun, Yang Li
preprint en

Abstract

We introduce a probabilistic imaginary-time evolution scheme based on a compiled approximate diagonal representation of the Hamiltonian. A basis transformation is optimized offline. For a fixed compiled representation, the online circuit structure and gate count per attempt are independent of the imaginary time, and the same representation can be reused across different input states and evolution times. We derive a condition for enhanced success probability. Numerical tests show reduced online cost relative to termwise Pauli-based methods at a common accuracy threshold. We also examine how approximation errors and offline preparation costs affect the overall benefit.

arXiv (Cornell University)
Quantum Computing Algorithms and Architecture
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