---
code_id: 110192
site_ownership_code: "NREL"
open_source: true
repository_link: "https://github.com/NREL/SymmetryDetectionForQuantumSim"
project_type: "OS"
software_type: "S"
official_use_only: {}
developers:
- email: ""
  orcid: ""
  first_name: "Caleb"
  last_name: "Rotello"
  middle_name: ""
  affiliations:
  - "National Renewable Energy Laboratory (NREL), Golden, CO (United States)"
- email: ""
  orcid: ""
  first_name: "Peter"
  last_name: "Graf"
  middle_name: ""
  affiliations:
  - "National Renewable Energy Laboratory (NREL), Golden, CO (United States)"
contributors: []
sponsoring_organizations:
- organization_name: "USDOE Laboratory Directed Research and Development (LDRD) Program"
  funding_identifiers: []
  primary_award: "AC36-08GO28308"
  DOE: true
contributing_organizations: []
research_organizations:
- organization_name: "National Renewable Energy Laboratory (NREL), Golden, CO (United\
    \ States)"
  DOE: true
related_identifiers: []
award_dois: []
release_date: "2023-07-17"
software_title: "ADoSPSiQS (Automated Detection of Symmetry-Protected Subspaces in\
  \ Quantum Simulations ) [SWR-23-55]"
acronym: "ADoSPSiQS"
doi: "https://doi.org/10.11578/dc.20240119.30"
description: "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."
programming_languages:
- "Jupyter Notebook"
- "Python"
documentation_url: "https://arxiv.org/pdf/2302.08586.pdf"
country_of_origin: "United States"
project_keywords: []
licenses:
- "BSD 3-clause \"New\" or \"Revised\" License"
recipient_org: "NREL Technology Transfer Office"
site_accession_number: "NREL SWR-23-55"
date_record_added: "2023-07-18"
date_record_updated: "2024-01-19"
is_file_certified: false
last_editor: "suzanne.hoffman@nrel.gov"
is_limited: false
links:
- rel: "citation"
  href: "https://www.osti.gov/doecode/biblio/110192"