110192 NREL true https://github.com/NREL/SymmetryDetectionForQuantumSim OS S 2023-07-17 ADoSPSiQS (Automated Detection of Symmetry-Protected Subspaces in Quantum Simulations ) [SWR-23-55] ADoSPSiQS https://doi.org/10.11578/dc.20240119.30 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. https://arxiv.org/pdf/2302.08586.pdf United States NREL Technology Transfer Office NREL SWR-23-55 2023-07-18 2024-01-19 false suzanne.hoffman@nrel.gov false Caleb Rotello National Renewable Energy Laboratory (NREL), Golden, CO (United States) Peter Graf National Renewable Energy Laboratory (NREL), Golden, CO (United States) USDOE Laboratory Directed Research and Development (LDRD) Program AC36-08GO28308 true National Renewable Energy Laboratory (NREL), Golden, CO (United States) true Jupyter Notebook Python BSD 3-clause "New" or "Revised" License