An Efficient Workflow of Modeling Single-Nanowire Based Single-Photon Avalanche Detectors

Zhe Li*, H. Hoe Tan, Chennupati Jagadish, Lan Fu

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Single-photon detector (SPD) as an essential building block for detecting and counting photons, plays a fundamental role in quantum technologies. In this work, we propose an efficient workflow of modeling SPDs based on emerging one-dimensional materials, i.e. nanowires, utilizing avalanche breakdown in reverse biased condition. Comparing to another extensively studied platform, superconducting nanowire SPDs, avalanche nanowire device is demonstrated in this work to promise comparable performance (e.g. high photon detection efficiency (PDE) and and low dark count rate (DCR)) but without working at extreme cryogenic temperature (4K). The proposed workflow explored to maximize computational workload and balancing between time-consuming drift-diffusion simulation and fast script-based post-processing, and in timely convergence we were able to predict a suite of key performance metrics for single-photon SPDs, including breakdown voltage, PDE, DCR, and time resolution.

    Original languageEnglish
    Title of host publication2022 International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD 2022
    PublisherIEEE Computer Society
    Pages121-122
    Number of pages2
    ISBN (Electronic)9781665478991
    DOIs
    Publication statusPublished - 2022
    Event2022 International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD 2022 - Turin, Italy
    Duration: 12 Sept 202216 Sept 2022

    Publication series

    NameProceedings of the International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD
    Volume2022-September
    ISSN (Print)2158-3234

    Conference

    Conference2022 International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD 2022
    Country/TerritoryItaly
    CityTurin
    Period12/09/2216/09/22

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