Quantum Advantage in Distributed Sensing with Noisy Quantum Networks

ORAL

Abstract

We show that quantum advantage in distributed sensing can be achieved with noisy quantum networks. When using depolarized GHZ states as the probe, we derive a closed-form fidelity threshold to achieve advantage over the optimal local sensing strategy. The threshold indicates that while entanglement is needed for this quantum advantage, genuine multipartite entanglement is generally unnecessary. We further explore the impacts from imperfect local entanglement generation and local measurement constraint, and our results imply that the quantum advantage is more robust against quantum network imperfections than local operation errors. Finally, we demonstrate that the quantum advantage in distributed sensing can be achieved with a three-node quantum network using practical protocol stacks through simulations with SeQUeNCe, an open-source, customizable quantum network simulator.

*This material is based upon work supported by the U.S. Department of Energy Office of Science National Quantum Information Science Research Centers. Work performed at the Center for Nanoscale Materials, a U.S. Department of Energy Office of Science User Facility, was supported by the U.S. DOE, Office of Basic Energy Sciences, under Contract No. DE-AC02-06CH11357. A.Z. and T.Z. are also supported by the NSF Quantum Leap Challenge Institute for Hybrid Quantum Architectures and Networks (NSF Grant No. 2016136), and the Marshall and Arlene Bennett Family Research Program.

Publication: arXiv:2409.17089

Presenters

  • Allen Zang

    • University of Chicago

Authors

  • Allen Zang

    • University of Chicago
  • Alexander Kolar

    • University of Chicago
  • Alvin Gonzales

    • Argonne National Laboratory
  • Joaquin F Chung Miranda

    • Argonne National Laboratory
  • Stephen K Gray

    • Argonne National Laboratory
  • Rajkumar Kettimuthu

    • Argonne National Laboratory
  • Tian Zhong

    • University of Chicago
  • Zain H Saleem

    • Argonne National Laboratory