Room-temperature photonic quantum computing in integrated silicon photonics with germanium–silicon single-photon avalanche diodes

Most, if not all, photonic quantum computing (PQC) relies upon superconducting nanowire single-photon detectors (SNSPDs) typically based on niobium nitride (NbN) operated at a temperature <4 K. This paper proposes and analyzes 300 K waveguide-integrated germanium–silicon (GeSi) single-photon avalanche diodes (SPADs) based on the recently demonstrated normal-incidence GeSi SPADs operated at room temperature, and shows that their performance is competitive against that of NbN SNSPDs in a series of metrics for PQC with a reasonable time-gating window. These GeSi SPADs become photon-number-resolving avalanche diodes (PNRADs) by deploying a spatially-multiplexed M-fold-waveguide array of M GeSi SPADs. Using on-chip waveguided spontaneous four-wave mixing sources and waveguided field-programmable interferometer mesh circuits, together with the high-metric SPADs and PNRADs, high-performance quantum computing at room temperature is predicted for this PQC architecture.

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Publication Details

Journal
APL Quantum
Published
2024-09-01
DOI
https://doi.org/10.1063/5.0219035
Citations
10
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
3.47

Funders

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article

Room-temperature photonic quantum computing in integrated silicon photonics with germanium–silicon single-photon avalanche diodes

Chou-Yun Hsu, Neil Na, Richard Soref, Erik Chen
10 citations
APL Quantum
Neural Networks and Reservoir Computing
3.47
article

Room-temperature photonic quantum computing in integrated silicon photonics with germanium–silicon single-photon avalanche diodes

Chou-Yun Hsu, Neil Na, Richard Soref, Erik Chen
article en
10 citations

Abstract

Most, if not all, photonic quantum computing (PQC) relies upon superconducting nanowire single-photon detectors (SNSPDs) typically based on niobium nitride (NbN) operated at a temperature <4 K. This paper proposes and analyzes 300 K waveguide-integrated germanium–silicon (GeSi) single-photon avalanche diodes (SPADs) based on the recently demonstrated normal-incidence GeSi SPADs operated at room temperature, and shows that their performance is competitive against that of NbN SNSPDs in a series of metrics for PQC with a reasonable time-gating window. These GeSi SPADs become photon-number-resolving avalanche diodes (PNRADs) by deploying a spatially-multiplexed M-fold-waveguide array of M GeSi SPADs. Using on-chip waveguided spontaneous four-wave mixing sources and waveguided field-programmable interferometer mesh circuits, together with the high-metric SPADs and PNRADs, high-performance quantum computing at room temperature is predicted for this PQC architecture.

APL QuantumVol. 1(3)
University of Massachusetts Boston (US)
U.S. Air Force
Openalex Percentile: Top 7%
Neural Networks and Reservoir Computing
3.47
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Room-temperature photonic quantum computing in integrated silicon photonics with germanium–silicon single-photon avalanche diodes — Chou-Yun Hsu, Neil Na, et al. · APL Quantum (2024) | TGRS Research Map | TGRS