ADoSPSiQS (Automated Detection of Symmetry-Protected Subspaces in Quantum Simulations ) [SWR-23-55]

RESOURCE

Abstract

Symmetry-protected subspaces in quantum systems are subspaces demarcated by a conserved quantity of that quantum system. We introduce two classical algorithms, which efficiently compute and elucidate features of these subspaces. The first algorithm explores the entire symmetry-protected subspace of an initial state in time complexity linear to the size of the subspace by closing local basis state-to-basis state transitions. The second algorithm determines, with bounded error, if a given measurement outcome of a dynamically-generated state is within the symmetry-protected subspace of the state in which the dynamical system is initialized. This software is paired with the paper of the same name at https://arxiv.org/pdf/2302.08586.pdf.
Developers:
Rotello, Caleb [1] Graf, Peter [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Release Date:
2023-07-17
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Jupyter Notebook
Python
Licenses:
BSD 3-clause "New" or "Revised" License
Sponsoring Org.:
Code ID:
110192
Site Accession Number:
NREL SWR-23-55
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Country of Origin:
United States

RESOURCE

Citation Formats

Rotello, Caleb, and Graf, Peter. ADoSPSiQS (Automated Detection of Symmetry-Protected Subspaces in Quantum Simulations ) [SWR-23-55]. Computer Software. https://github.com/NREL/SymmetryDetectionForQuantumSim. USDOE Laboratory Directed Research and Development (LDRD) Program. 17 Jul. 2023. Web. doi:10.11578/dc.20240119.30.
Rotello, Caleb, & Graf, Peter. (2023, July 17). ADoSPSiQS (Automated Detection of Symmetry-Protected Subspaces in Quantum Simulations ) [SWR-23-55]. [Computer software]. https://github.com/NREL/SymmetryDetectionForQuantumSim. https://doi.org/10.11578/dc.20240119.30.
Rotello, Caleb, and Graf, Peter. "ADoSPSiQS (Automated Detection of Symmetry-Protected Subspaces in Quantum Simulations ) [SWR-23-55]." Computer software. July 17, 2023. https://github.com/NREL/SymmetryDetectionForQuantumSim. https://doi.org/10.11578/dc.20240119.30.
@misc{ doecode_110192,
title = {ADoSPSiQS (Automated Detection of Symmetry-Protected Subspaces in Quantum Simulations ) [SWR-23-55]},
author = {Rotello, Caleb and Graf, Peter},
abstractNote = {Symmetry-protected subspaces in quantum systems are subspaces demarcated by a conserved quantity of that quantum system. We introduce two classical algorithms, which efficiently compute and elucidate features of these subspaces. The first algorithm explores the entire symmetry-protected subspace of an initial state in time complexity linear to the size of the subspace by closing local basis state-to-basis state transitions. The second algorithm determines, with bounded error, if a given measurement outcome of a dynamically-generated state is within the symmetry-protected subspace of the state in which the dynamical system is initialized. This software is paired with the paper of the same name at https://arxiv.org/pdf/2302.08586.pdf.},
doi = {10.11578/dc.20240119.30},
url = {https://doi.org/10.11578/dc.20240119.30},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240119.30}},
year = {2023},
month = {jul}
}