Stochastic Polarization Drift Model for Characterizing Quantum Networks

ORAL

Abstract

With the emergence of various quantum technologies, multiple entanglement-based quantum networks are being deployed in large-scale metropolitan areas. To support efforts in their development and further characterization of the quantum networks, we use discrete event simulations as a cost-effective development tool for network characterization, protocols, and optimization. In our work we focus on characterizing the impacts of polarization drift, a long-standing challenge when attempting to perform long-range entanglement distribution. We will present how we are utilizing stochastic rotations as a model for characterizing the effects of birefringence induced polarization drift on an entanglement-based quantum network.

*This work is supported in part by the Materials Interfaces Research and Access-(MIRA-PREM)- an NSF PREM Center, NSF grant #2425226.

Presenters

  • Jaime A Diaz

    • Northern Arizona University

Authors

  • Jaime A Diaz

    • Northern Arizona University
  • Noah J Plant

    • Northern Arizona University
  • Jake Navas

    • Northern Arizona University
  • Michael Jaden Brewer

    • Northern Arizona University
  • Inès Montaño

    • Northern Arizona University