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Deterministic remote entanglement using a chiral quantum interconnect (Part 2)

ORAL

Abstract

Quantum interconnects facilitate entanglement distribution between non-local computational nodes. For superconducting processors, microwave photons are a natural means to mediate this distribution. However, many existing architectures are constrained by node connectivity and lack of directionality. In this work, we construct a chiral quantum interconnect between two nominally identical modules in separate microwave packages. We leverage quantum interference to emit and absorb microwave photons on demand and in a chosen direction between these modules [1, 2, 3]. We optimize the protocol using model-free reinforcement learning to maximize absorption efficiency. By halting the emission process halfway through its duration, we generate remote entanglement between modules in the form of a four-qubit W state with 62.4 ± 1.6% (leftward photon propagation) and 62.1 ± 1.2% (rightward) fidelity, limited mainly by propagation loss. This quantum network architecture enables all-to-all connectivity between non-local processors for modular and extensible quantum computation. In Part 2 of this series of talks, we will discuss future directions.



[1] Gheeraert, N. et al. Phys. Rev. A 102, 053720 (2020)



[2] Kannan, B., Almanakly, et al. Nat. Phys. 19, 394–400 (2023).



[3] Almanakly, A., Yankelevich, B. et al. arXiv:2408.05164 (2024)

Publication: Almanakly, A., Yankelevich, B. et al. arXiv:2408.05164 (2024)

Presenters

  • Beatriz Sarah Yankelevich

    Massachusetts Institute of Technology

Authors

  • Beatriz Sarah Yankelevich

    Massachusetts Institute of Technology

  • Aziza Almanakly

    Massachusetts Institute of Technology

  • Max Hays

    MIT, Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology

  • Bharath Kannan

    Atlantic Quantum

  • Réouven Assouly

    Massachussets Institute of Technology, Ecole Normale Superieure de Lyon

  • Alex Greene

    Google LLC

  • Michael Gingras

    MIT Lincoln Laboratory

  • Bethany M Niedzielski

    MIT Lincoln Laboratory

  • Hannah M Stickler

    MIT Lincoln Laboratory

  • Mollie E Schwartz

    MIT Lincoln Laboratory, Lincoln Laboratory, Massachusetts Institute of Technology

  • Kyle Serniak

    MIT Lincoln Laboratory, Lincoln Laboratory, Massachusetts Institute of Technology

  • Joel I-Jan Wang

    Massachusetts Institute of Technology

  • Terry P Orlando

    Massachusetts Institute of Technology

  • Simon Gustavsson

    Massachusetts Institute of Technology

  • Jeffrey A Grover

    Massachusetts Institute of Technology

  • William D Oliver

    Massachusetts Institute of Technology, Massachusetts Institute of Technology (MIT)