Distributed blind quantum computing with Silicon-vacancy (SiV) centers-based quantum networks

ORAL

Abstract

Quantum networks promise secure communications and distributed quantum computing, thereby opening up applications such as blind quantum computing (BQC). The key obstacle thus far has been the realization of an efficient light-matter interface for quantum information exchange between servers and clients, while accessing multiple-qubit control for quantum logics. I will first talk about our approach to realizing an universal BQC based on the silicon-vacancy center (SiV) in nanophotonic diamond 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, thereby allowing the entanglement generation between two physically separated spins. This enables us to realize an universal blind quantum logic gate set, leveraging computational resources at physically separated servers. I will also talk about our recent work on extending the current quantum network to 3-node quantum network, using C13-based robust 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: Y.-C. Wei et al. ,Universal distributed blind quantum computing with solid-state qubits. Science 388, 509-513 (2025)

Presenters

  • Yan-Cheng Wei

    • Harvard University

Authors

  • Yan-Cheng Wei

    • Harvard University
  • Pieter-Jan Stas

    • Harvard University
  • Aziza Suleymanzade

    • Harvard University
  • Gefen Baranes

    • Massachusetts Institute of Technology
  • Francisco Machado

    • Harvard - Smithsonian Center for Astrophysics
  • Yan Qi Huan

    • Harvard University
  • Can Mithat Knaut

    • Harvard University
  • Sophie Weiyi Ding

    • Harvard University
  • Moritz Merz

    • Harvard University
  • Erik Knall

    • Harvard University
  • Umut Yazlar

    • Harvard University
    • Boston University
  • Maxim Sirotin

    • Harvard University
    • Massachusetts Institute of Technology
  • Iria Wang

    • Harvard University
  • Bartholomeus Machielse

    • Harvard University
  • Susanne F Yelin

    • Harvard University
  • Johannes Borregaard

    • Harvard University
  • Hongkun Park

    • Harvard University
  • Marko Loncar

    • Harvard University
  • Mikhail D Lukin

    • Harvard University