Josephson-Based Scheme for the Detection of Microwave Photons

Claudio Guarcello, Alex Stephane Piedjou Komnang, Carlo Barone, Alessio Rettaroli, Claudio Gatti, Sergio Pagano, and Giovanni Filatrella
Phys. Rev. Applied 16, 054015 – Published 5 November 2021

Abstract

We propose a scheme for the detection of microwave-induced photons through a current-biased Josephson junction, from the point of view of the statistical decision theory. Our analysis is based on the numerical study of the zero-voltage lifetime distribution in response to a periodic train of pulses, that mimics the absorption of photons. The statistical properties of the detection are retrieved comparing the thermally induced transitions with the distribution of the switchings to the finite voltage state due to the joint action of thermal noise and of the incident pulses. The capability to discriminate the photon arrival can be quantified through the Kumar-Caroll index, which is a good indicator of the signal-to-noise ratio. The index can be exploited to identify the system parameters best suited for the detection of weak microwave photons.

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  • Received 12 July 2021
  • Revised 29 September 2021
  • Accepted 18 October 2021

DOI:https://doi.org/10.1103/PhysRevApplied.16.054015

© 2021 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied PhysicsParticles & FieldsNonlinear Dynamics

Authors & Affiliations

Claudio Guarcello1,2,*, Alex Stephane Piedjou Komnang1,†, Carlo Barone1,2,3,‡, Alessio Rettaroli4,5,§, Claudio Gatti4,¶, Sergio Pagano1,2,3,∥, and Giovanni Filatrella2,6,**

  • 1Dipartimento di Fisica “E.R. Caianiello”, Università di Salerno, Via Giovanni Paolo II, 132, Fisciano (SA) I-84084, Italy
  • 2INFN Gruppo Collegato di Salerno, Via Giovanni Paolo II, 132, Fisciano (SA) I-84084, Italy
  • 3CNR SPIN Salerno, Via Giovanni Paolo II, Fisciano (SA) I-82084, Italy
  • 4INFN, Laboratori Nazionali di Frascati, Frascati (Roma), Italy
  • 5Department of Mathematics and Physics, University of Roma Tre, I-00100 Roma, Italy
  • 6Department of Sciences and Technologies, University of Sannio, Via De Sanctis, Benevento I-82100, Italy

  • *Corresponding author. cguarcello@unisa.it
  • apiedjoukomnang@unisa.it
  • cbarone@unisa.it
  • §alessio.rettaroli@lnf.infn.it
  • claudio.gatti@lnf.infn.it
  • spagano@unisa.it
  • **filatrella@unisannio.it

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Vol. 16, Iss. 5 — November 2021

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