Programmable Photonic Quantum Circuits with Ultrafast Time-Bin Encoding

We propose a quantum information processing platform that utilizes the ultrafast time-bin encoding of photons. This approach offers a pathway to scalability by leveraging the inherent phase stability of collinear temporal interferometric networks at the femtosecond-to-picosecond timescale. The proposed architecture encodes information in ultrafast temporal bins processed using optically induced nonlinearities and birefringent materials while keeping photons in a single spatial mode. We demonstrate the potential for scalable photonic quantum information processing through two independent experiments that showcase the platform's programmability and scalability, respectively. The scheme's programmability is demonstrated in the first experiment, where we successfully program 362 different unitary transformations in up to eight dimensions in a temporal circuit. In the second experiment, we show the scalability of ultrafast time-bin encoding by building a passive optical network, with increasing circuit depth, of up to 36 optical modes. In each experiment, fidelities exceed 97%, while the interferometric phase remains passively stable for several days.

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Publication Details

Journal
Physical Review Letters
Published
2024-08-26
DOI
https://doi.org/10.1103/physrevlett.133.090601
Citations
18
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
6.25
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article

Programmable Photonic Quantum Circuits with Ultrafast Time-Bin Encoding

Khabat Heshami, Kate L. Fenwick, Philip J. Bustard, Benjamin Sussman et al.
18 citations
Physical Review Letters
Neural Networks and Reservoir Computing
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article

Programmable Photonic Quantum Circuits with Ultrafast Time-Bin Encoding

Khabat Heshami, Kate L. Fenwick, Philip J. Bustard, Benjamin Sussman, Frédéric Bouchard, Kent Bonsma-Fisher, Duncan England
article en
18 citations

Abstract

We propose a quantum information processing platform that utilizes the ultrafast time-bin encoding of photons. This approach offers a pathway to scalability by leveraging the inherent phase stability of collinear temporal interferometric networks at the femtosecond-to-picosecond timescale. The proposed architecture encodes information in ultrafast temporal bins processed using optically induced nonlinearities and birefringent materials while keeping photons in a single spatial mode. We demonstrate the potential for scalable photonic quantum information processing through two independent experiments that showcase the platform's programmability and scalability, respectively. The scheme's programmability is demonstrated in the first experiment, where we successfully program 362 different unitary transformations in up to eight dimensions in a temporal circuit. In the second experiment, we show the scalability of ultrafast time-bin encoding by building a passive optical network, with increasing circuit depth, of up to 36 optical modes. In each experiment, fidelities exceed 97%, while the interferometric phase remains passively stable for several days.

Physical Review LettersVol. 133(9)
University of Ottawa (CA), National Research Council Canada (CA)
Openalex Percentile: Top 3%
Neural Networks and Reservoir Computing
6.25
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Programmable Photonic Quantum Circuits with Ultrafast Time-Bin Encoding — Khabat Heshami, Kate L. Fenwick, et al. · Physical Review Letters (2024) | TGRS Research Map | TGRS