Loughborough University
Browse
Kusmartsev_PhysRevB.99.060501.pdf (1.33 MB)

Bridging the terahertz gap for chaotic sources with superconducting junctions

Download (1.33 MB)
journal contribution
posted on 2019-02-15, 15:04 authored by D Gulevich, V.P. Koshelets, Feodor Kusmartsev
We observe a broadband chaotic signal of terahertz frequency emitted from a superconducting junction. The generated radiation has a wide spectrum reaching 0.7 THz and power sufficient to drive on-chip circuit elements. Our experimental finding is fully confirmed by numerical modeling based on microscopic theory and reveals the unrealized potential of superconducting systems in chaos-based terahertz communication, fast generation of true random numbers, and noninvasive terahertz spectroscopy.

Funding

The theoretical part of the work and numerical modeling are supported by the Russian Science Foundation under Grant No. 18-12-00429. The experimental study is supported from Grant No. 17-52-12051 of the Russian Foundation for Basic Research.

History

School

  • Science

Department

  • Physics

Published in

Physical Review B

Volume

99

Issue

6

Citation

GULEVICH, D.R., KOSHELETS, V.P. and KUSMARTSEV, F.V., 2019. Bridging the terahertz gap for chaotic sources with superconducting junctions. Physical Review B, 99: 060501(R).

Publisher

© American Physical Society (APS)

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2019-02-05

Notes

This paper was published in the journal Physical Review B and the definitive published version is available at https://doi.org/10.1103/physrevb.99.060501

ISSN

2469-9950

eISSN

2469-9969

Language

  • en

Usage metrics

    Loughborough Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC