On-chip detection of non-classical light by scalable integration of single-photon detectors
Author(s)
Najafi, Faraz; Mower, Jacob; Bellei, Francesco; Lee, Catherine; Hu, Xiaolong; Kharel, Prashanta; Marsili, Francesco; Assefa, Solomon; Berggren, Karl K.; Harris, Nicholas Christopher; Dane, Andrew Edward; Englund, Dirk Robert; ... Show more Show less
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Photonic-integrated circuits have emerged as a scalable platform for complex quantum systems. A central goal is to integrate single-photon detectors to reduce optical losses, latency and wiring complexity associated with off-chip detectors. Superconducting nanowire single-photon detectors (SNSPDs) are particularly attractive because of high detection efficiency, sub-50-ps jitter and nanosecond-scale reset time. However, while single detectors have been incorporated into individual waveguides, the system detection efficiency of multiple SNSPDs in one photonic circuit—required for scalable quantum photonic circuits—has been limited to <0.2%. Here we introduce a micrometer-scale flip-chip process that enables scalable integration of SNSPDs on a range of photonic circuits. Ten low-jitter detectors are integrated on one circuit with 100% device yield. With an average system detection efficiency beyond 10%, and estimated on-chip detection efficiency of 14–52% for four detectors operated simultaneously, we demonstrate, to the best of our knowledge, the first on-chip photon correlation measurements of non-classical light.
Date issued
2015-01Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Research Laboratory of ElectronicsJournal
Nature Communications
Publisher
Nature Publishing Group
Citation
Najafi, Faraz, Jacob Mower, Nicholas C. Harris, Francesco Bellei, Andrew Dane, Catherine Lee, Xiaolong Hu, et al. “On-Chip Detection of Non-Classical Light by Scalable Integration of Single-Photon Detectors.” Nature Communications 6 (January 9, 2015): 5873. © 2015 Macmillan Publishers Limited
Version: Final published version
ISSN
2041-1723