TY - GEN
T1 - An Efficient Workflow of Modeling Single-Nanowire Based Single-Photon Avalanche Detectors
AU - Li, Zhe
AU - Hoe Tan, H.
AU - Jagadish, Chennupati
AU - Fu, Lan
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - TCAD
KW - low-dimensional materials
KW - nanowire
KW - single-photon detector
UR - http://www.scopus.com/inward/record.url?scp=85139095015&partnerID=8YFLogxK
U2 - 10.1109/NUSOD54938.2022.9894783
DO - 10.1109/NUSOD54938.2022.9894783
M3 - Conference contribution
T3 - Proceedings of the International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD
SP - 121
EP - 122
BT - 2022 International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD 2022
PB - IEEE Computer Society
T2 - 2022 International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD 2022
Y2 - 12 September 2022 through 16 September 2022
ER -