Published April 14, 2020 | Version Published
Journal Article Open

Probabilistic vortex crossing criterion for superconducting nanowire single-photon detectors

  • 1. ROR icon Purdue University West Lafayette
  • 2. ROR icon University of Massachusetts Amherst
  • 3. ROR icon Yale University

Abstract

Superconducting nanowire single-photon detectors have emerged as a promising technology for quantum metrology from the mid-infrared to ultraviolet frequencies. Despite recent experimental successes, a predictive model to describe the detection event in these detectors is needed to optimize the detection metrics. Here, we propose a probabilistic criterion for single-photon detection based on single-vortex (flux quanta) crossing the width of the nanowire. Our model makes a connection between the dark counts and photon counts near the detection threshold. The finite-difference calculations demonstrate that a change in the bias current distribution as a result of the photon absorption significantly increases the probability of single-vortex crossing even if the vortex potential barrier has not vanished completely. We estimate the instrument response function and show that the timing uncertainty of this vortex tunneling process corresponds to a fundamental limit in timing jitter of the click event. We demonstrate a trade-space between this intrinsic (quantum) timing jitter, quantum efficiency, and dark count rate in TaN, WSi, and NbN superconducting nanowires at different experimental conditions. Our detection model can also explain the experimental observation of exponential decrease in the quantum efficiency of SNSPDs at lower energies. This leads to a pulse-width dependency in the quantum efficiency, and it can be further used as an experimental test to compare across different detection models.

Additional Information

© 2020 Published under license by AIP Publishing. Submitted: 22 October 2019; Accepted: 21 March 2020; Published Online: 9 April 2020. We thank Sean Molesky, Joseph Maciejko, Rudro Biswajs, and Bhaskaran Muralidharan for discussions. This work is supported by DARPA DETECT ARO Award No. W911NF-18-1-0074.

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Additional details

Identifiers

Eprint ID
102936
Resolver ID
CaltechAUTHORS:20200430-134502526

Funding

Defense Advanced Research Projects Agency (DARPA)
W911NF-18-1-0074

Dates

Created
2020-04-30
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Updated
2021-11-16
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