Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published March 2024 | Published
Journal Article Open

Learning Conservation Laws in Unknown Quantum Dynamics

Abstract

We present a learning algorithm for discovering conservation laws given as sums of geometrically local observables in quantum dynamics. This includes conserved quantities that arise from local and global symmetries in closed and open quantum many-body systems. The algorithm combines the classical shadow formalism for estimating expectation values of observable and data analysis techniques based on singular value decompositions and robust polynomial interpolation to discover all such conservation laws in unknown quantum dynamics with rigorous performance guarantees. Our method can be directly realized in quantum experiments, which we illustrate with numerical simulations, using closed and open quantum system dynamics in a ℤ₂ gauge theory and in many-body localized spin chains.

Copyright and License

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Acknowledgement

Files

PRXQuantum.5.010350.pdf
Files (1.2 MB)
Name Size Download all
md5:e77298df2f6981004f850a852f2f42e7
1.2 MB Preview Download

Additional details

Created:
March 25, 2024
Modified:
March 25, 2024