Entanglement-Enhanced Optical Interferometry in a Quantum Network

ORAL

Abstract

At a low light level, the sensitivity of optical long-baseline interferometry—central to astronomical and remote imaging—is limited by the difficulty of coherently combining weak optical modes without added loss or noise. We experimentally demonstrate an approach that enhances interferometric sensitivity in the low-photon regime by exploiting entanglement between spatially separated quantum nodes. In our implementation, quantum memories based on silicon-vacancy centers in diamond nanocavities are first entangled in an event-ready manner. An incoming signal photon then interacts locally with the memories; a photon-erasure step removes which-path information of the signal photon, while non-destructive photon heralding enabled by entanglement identifies successful joint phase-sensing events and boosts sensitivity. We perform differential phase measurements of weak thermal light over fiber baselines up to 1.55 km and a 6 m line-of-sight separation between nodes. The results demonstrate improved sensitivity over local detection, establishing a scalable route toward quantum-enhanced telescopy and long-baseline quantum interferometry with quantum memories.

*This work was supported by the AWS Center for Quantum Networking, the National Science Foundation (Grant No. PHY-2012023), NSF Center for Ultracold Atoms, the NSF Engineering Research Center for Quantum Networks (Grant No. EEC-1941583), CQN (EEC-1941583), and NSF QuSeC-TAQS OMA-2326787.

Publication: https://arxiv.org/abs/2509.09464

Presenters

  • Maxim Sirotin

    • Harvard University
    • Massachusetts Institute of Technology

Authors

  • Maxim Sirotin

    • Harvard University
    • Massachusetts Institute of Technology
  • Pieter-Jan Stas

    • Harvard University
  • Yan-Cheng Wei

    • Harvard University
  • Yan Qi Huan

    • Harvard University
  • Umut Yazlar

    • Harvard University
    • Boston University
  • Francisca Abdo Arias

    • Harvard University
  • Eugene Knyazev

    • Harvard University
  • Gefen Baranes

    • Massachusetts Institute of Technology
  • Bartholomeus Machielse

    • Harvard University
  • Samuele Grandi

    • ICFO
  • Daniel Riedel

    • IonQ
    • IonQ Inc., 4505 Campus Dr., College Park, 20740, MD, USA
    • IonQ Inc.
  • Johannes Borregaard

    • Harvard University
  • Hongkun Park

    • Harvard University
  • Marko Loncar

    • Harvard University
  • Aziza Suleymanzade

    • Harvard University
  • Mikhail D Lukin

    • Harvard University