Correcting Quantum Resources: Theory and Applications

POSTER

Abstract

Resource theories provide a powerful framework for identifying and quantifying the states and properties that serve as valuable resources in quantum information processing. One of the central challenges in this context is the protection of these resources from noise and errors that can degrade their usefulness. In this work, we investigate methods for the correction and preservation of quantum resources within the formalism of resource theories. Our analysis reveals that resource-preserving operations naturally induce a type of gauge freedom within the code space, offering flexibility in designing recovery strategies. These strategies can restore the essential resource while allowing changes to non-critical features of the state, thereby simplifying the decoding process. The principles and results developed here apply broadly across different resource theories and have implications for a wide range of quantum information protocols and applications.

*This material is based upon work supported by the U.S. Department of Energy, Office Science, Advanced Scientific Computing Research (ASCR) program under contract number DE-AC02-06CH11357 as part of the InterQnet quantum networking project.

Publication: Quantum Resource Correction

Presenters

  • Daniel J Dilley

    • Argonne National Laboratory

Authors

  • Daniel J Dilley

    • Argonne National Laboratory
  • Mark S Byrd

    • National Science Foundation (NSF)
  • Alvin M Gonzales

    • Argonne National Laboratory
  • Zain H Saleem

    • Argonne National Laboratory
  • Masaya Takahashi

    • Southern Illinois University Carbondale
  • Lian-Ao Wu

    • University of the Basque Country UPV/EH