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PreprintCC BY 4.0arXiv

svPITE: A Python package for the state-vector-based probabilistic imaginary-time evolution algorithm

  • Pascal Sievers
  • Satoshi Ejima
Open at sourcePDFDOICite

Abstract

We present a Python package for ground-state preparation based on the probabilistic imaginary-time evolution algorithm, with particular focus on its state-vector-based implementation. A standard shot-based simulation is also supported, and results can be benchmarked against exact diagonalisation via a dedicated wrapper. The package enables efficient tuning of initial parameters, facilitating systematic exploration and optimisation of the method's performance. Starting from the prepared ground state, the strong interoperability with other packages further enables real-time evolution and the computation of spectral functions, such as the spin-spin dynamical structure factor.

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Cite

BibTeXRIS
BibTeX
@misc{sievers2026svpite,
  title = {{svPITE: A Python package for the state-vector-based probabilistic imaginary-time evolution algorithm}},
  author = {Pascal Sievers and Satoshi Ejima},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2605.07559},
  eprint = {2605.07559},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.07559},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - svPITE: A Python package for the state-vector-based probabilistic imaginary-time evolution algorithm
AU  - Pascal Sievers
AU  - Satoshi Ejima
PY  - 2026
DA  - 2026/09/15
PB  - arXiv
DO  - 10.48550/arxiv.2605.07559
UR  - https://arxiv.org/abs/2605.07559
AB  - We present a Python package for ground-state preparation based on the probabilistic imaginary-time evolution algorithm, with particular focus on its state-vector-based implementation. A standard shot-based simulation is also supported, and results can be benchmarked against exact diagonalisation via a dedicated wrapper. The package enables efficient tuning of initial parameters, facilitating systematic exploration and optimisation of the method's performance. Starting from the prepared ground state, the strong interoperability with other packages further enables real-time evolution and the computation of spectral functions, such as the spin-spin dynamical structure factor.
ER  -