Distributed blind quantum computing using a two-node quantum network based on Silicon-vacancy (SiV) centers in nanophotonic cavities

ORAL

Abstract

Quantum networks have the potential to enable secure communications and distributed quantum computing. The key obstacle thus far has been the difficulty in achieving efficient light-matter interfaces while accessing multi-qubit controls. In this talk, I will first talk about our approach to realizing a two-node quantum network based on the silicon-vacancy center (SiV) in diamond in nanophotonic cavities. Each node contains an electronic spin communication qubit and a nuclear spin memory qubit, while cavity-enhanced interactions enable heralded entangling gates between the spin qubits and time-bin photons, allowing us to generate remote entanglement between two physically separate nodes. This directly enables applications leveraging distributed quantum systems, such as blind quantum computing (BQC). In the second part, I will talk about our recent work in the experimental demonstration of BQC using this two-node quantum network. Specifically, I will report the first experimental implementation of a universal gate set for matter-based BQC, including distributed blind operations, using a two-node SiV-based quantum network.

*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: Y.-C. Wei, et al., arXiv preprint arXiv:2412.03020 (2024)

Presenters

  • Yan-Cheng Wei

    • Harvard University

Authors

  • Yan-Cheng Wei

    • Harvard University
  • Pieter-Jan Constant Stas

    • Harvard University
  • Aziza Suleymanzade

    • Harvard University
  • Gefen Baranes

    • Massachusetts Institute of Technology
    • Harvard University
  • Francisco Machado

    • Harvard - Smithsonian Center for Astrophysics
  • Yan Qi Huan

    • Harvard University
  • Can Mithat Knaut

    • Harvard University
  • Sophie Weiyi Ding

    • Harvard University
  • Moritz Merz

    • ETH Zurich
  • Erik Knall

    • Harvard University
  • Umut Yazlar

    • Boston University
    • Harvard University
  • Maxim Sirotin

    • Massachusetts Institute of Technology
    • Harvard University
  • Iria Wang

    • Harvard University
  • Bart Machielse

    • Harvard University
    • Lightsynq Technologies Inc.
  • Susanne F Yelin

    • Harvard University
  • Johannes Borregaard

    • Harvard University
  • Hongkun Park

    • Harvard University
  • Marko Loncar

    • Harvard University
  • Mikhail D Lukin

    • Harvard University