Towards efficient electro-optic transduction in thin film lithium niobate

ORAL

Abstract

Promising qubit technologies couple to electromagnetic waves with frequencies that span five orders of magnitude. For example, superconducting microwave circuits and trapped atoms couple to microwave and optical transitions, respectively. Transduction of quantum information between these disparate frequencies is therefore critical to interface quantum resources and leverage advantages different platforms. Moreover, this allows cryogenically cooled superconducting qubits to be coupled to optical qubits which operate at room temperature and travel long distances by low-loss fibers. Cavity electro-optics is a promising approach for transduction between microwave and optical quanta due to a wide transduction bandwidth as well as potential for highly efficient and low noise operation. We present a cavity electro-optic transducer in thin film lithium niobate, a material platform that provides a strong nonlinearity and low optical loss. On-chip efficiencies over .7% and with a bandwidth larger than 100MHz is demonstrated. Finally, we describe how efficiencies exceeding 10% can be achieved and discuss the potential of our transducer to be interfaced with commercially available superconducting qubits.

*Air Force Research Laboratory (RCP06360); National Science Foundation (NSF) (DGE1745303.1541959, ECCS-1839197, ECCS-1541959); Office of Naval Research (ONR) MURI award number N00014-15-1-2761; Natural Sciences and Engineering Research Council of Canada (NSERC); AQT Intelligent Quantum Networks and Technologies (INQNET) research program; Harvard Quantum Initiative (HQI); Harvard Center for Nanoscale Systems (CNS); DOE/HEP QuantISED program grant, QCCFP (Quantum Communication Channels for Fundamental Physics), award number DE-SC0019219; intelligence community postdoctoral fellowship

Presenters

  • Hana K Warner

    • Harvard University

Authors

  • Hana K Warner

    • Harvard University
  • Jeffrey Holzgrafe

    • Harvard University
  • David Barton

    • Harvard University
  • CJ Xin

    • Harvard University
  • Di Zhu

    • Harvard University
  • Amirhassan Shams-Ansari

    • Harvard University
  • Emma Batson

    • Massachusetts Institute of Technology MIT
  • Marco Colangelo

    • Massachusetts Institute of Technology MIT
  • Graham Joe

    • Harvard University
  • Neil Sinclair

    • Harvard University; California Institute of Technology
    • Harvard University
  • Karl K Berggren

    • Massachusetts Institute of Technology MIT
  • Marko Loncar

    • Harvard University
    • Harvard