Utilizing Quantum Network Simulators to Develop Methods of Quantum Network Tomography

POSTER

Abstract

With recent developments in quantum computing, focus has begun to shift toward connecting quantum computers into networks. In classical computer networks, the quality of a given network is assessed using network tomography, however, an equivalent has not yet been developed for a quantum network. In order to address this need, we investigate how to assess the quality of a network by developing quantum network tomography protocols through the use of quantum simulators. Quantum network simulators provide complete network customization, allowing us to alter parameters of the network such as error rates and network topologies in order to identify characteristics of network errors. We present simulation results showing how to identify and characterize error within a quantum network. Particularly, our results indicate that it is possible to characterize common Pauli errors such as bit flips and phase flips within a network through the use of specific entangled states and user-node measurements.

*This research was supported in part by the NSF-ERC Center for Quantum Networks grant EEC-1941583

Presenters

  • Jake Navas

    • Northern Arizona University

Authors

  • Jake Navas

    • Northern Arizona University
  • Jaime A Diaz

    • Northern Arizona University
  • Matheus Guedes de Andrade

    • University of Massachusetts Amherst
  • M. Jaden Brewer

    • Northern Arizona University
  • Noah H Johnson

    • Northern Arizona University
  • Michael G Raymer

    • University of Oregon
  • Don Towsley

    • University of Massachusetts Amherst
  • Inès Montaño

    • Northern Arizona U.
    • Northern Arizona University