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Josephson single infrared photon detector

ORAL

Abstract

Josephson junction (JJ) enables many high sensitivity detectors such as SQUID amplifier, magnetometer, microwave mixer, bolometer, and parametric amplifier. In the earliest realization of Josephson detectors during the 70’s, photodetection was one of the target applications before it fell out of competition due to the lack of good detection and coupling mechanism. However, new opportunities are now opening up for photodetection by exploiting the electrical and thermal properties of graphene in the superconducting-graphene-superconducting junctions. In this talk, we report the experimental detection of near-infrared (NIR) single photons by a graphene-based JJ via non-resonant Cooper-pair breaking and the resulting quasiparticle diffusion. Our method demonstrates an efficient mechanism for the electromagnetic wave to interact directly with the JJ. Such single photon detector is an enabling technology for quantum communication, quantum computing, and could be used as cryogenic optical interconnects.

Presenters

  • Kin Chung Fong

    BBN Technology - Massachusetts, Raytheon BBN Technologies, Quantum Information Processing Group, Cambridge, MA 02138, USA

Authors

  • Evan D. Walsh

    Massachusetts Institute of Technology

  • Gil-Ho Lee

    Pohang University of Science and Technology, Pohang Univ of Sci & Tech, Department of Physics, POSTECH, Pohang, Republic Korea

  • Woochan Jung

    Pohang University of Science and Technology

  • K.-F. Huang

    Harvard University

  • Bae-Ian Wu

    Air Force Research Laboratory

  • Dmitri Efetov

    ICFO - The Institute of Photonic Sciences, ICFO Barcelona, ICFO-The Institute of Photonic Sciences

  • Thomas A Ohki

    BBN Technology - Massachusetts, Raytheon BBN Technologies, BBN Technologies

  • Philip Kim

    Harvard University, Harvard Univ, Physics, Harvard University

  • Dirk R. Englund

    Massachusetts Institute of Technology, Massachusetts Institute of Technology MIT, Electrical Engineering and Computer Science, Massachusetts Institute of Technology MIT, Research Laboratory of Electronics, Massachusetts Institute of Technology

  • Kin Chung Fong

    BBN Technology - Massachusetts, Raytheon BBN Technologies, Quantum Information Processing Group, Cambridge, MA 02138, USA