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Towards arbitrary time-frequency mode squeezing with self-conjugated mode squeezing in fiber

Author

Listed:
  • Han Liu

    (University of Toronto)

  • Meng Lon Iu

    (University of Toronto)

  • Noor Hamdash

    (University of Toronto)

  • Amr S. Helmy

    (University of Toronto)

Abstract

Optical parametric amplification generates squeezed light in device-specific sets of time-frequency eigenmodes, and it has been widely accepted that detection and utilization of squeezing must comply with this modal constraint. We show that this constraint can be considerably relaxed under the continuous-wave pump and broadband phase-matching approximation, where the modal decomposition is non-unique. Specifically, any time-frequency mode with “self-conjugated” spectral symmetry can approximate a squeezing eigenmode, and partial homodyne detection can herald squeezing in arbitrary time-frequency modes. We demonstrate this using a high-efficiency, low-loss all-fiber source, measuring 4.38 ± 0.11 dB and 0.88 ± 0.09 dB squeezing on partially coherent and chaotic self-conjugated modes, respectively. Using a bichromatic self-conjugated mode with reduced local-oscillator noise, we achieve 7.50 ± 0.12 dB squeezing, which represents the highest level reported for fully guided-wave squeezing sources based on χ(2) and χ(3) nonlinearities.

Suggested Citation

  • Han Liu & Meng Lon Iu & Noor Hamdash & Amr S. Helmy, 2025. "Towards arbitrary time-frequency mode squeezing with self-conjugated mode squeezing in fiber," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61225-y
    DOI: 10.1038/s41467-025-61225-y
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    References listed on IDEAS

    as
    1. Phillip S. Blakey & Han Liu & Georgios Papangelakis & Yutian Zhang & Zacharie M. Léger & Meng Lon Iu & Amr S. Helmy, 2022. "Quantum and non-local effects offer over 40 dB noise resilience advantage towards quantum lidar," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    2. Han Liu & Changhao Qin & Georgios Papangelakis & Meng Lon Iu & Amr S. Helmy, 2023. "Compact all-fiber quantum-inspired LiDAR with over 100 dB noise rejection and single photon sensitivity," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    3. Catxere A. Casacio & Lars S. Madsen & Alex Terrasson & Muhammad Waleed & Kai Barnscheidt & Boris Hage & Michael A. Taylor & Warwick P. Bowen, 2021. "Quantum-enhanced nonlinear microscopy," Nature, Nature, vol. 594(7862), pages 201-206, June.
    4. Catxere A. Casacio & Lars S. Madsen & Alex Terrasson & Muhammad Waleed & Kai Barnscheidt & Boris Hage & Michael A. Taylor & Warwick P. Bowen, 2021. "Author Correction: Quantum-enhanced nonlinear microscopy," Nature, Nature, vol. 596(7873), pages 12-12, August.
    5. Y. Zhang & M. Menotti & K. Tan & V. D. Vaidya & D. H. Mahler & L. G. Helt & L. Zatti & M. Liscidini & B. Morrison & Z. Vernon, 2021. "Squeezed light from a nanophotonic molecule," Nature Communications, Nature, vol. 12(1), pages 1-6, December.
    6. Zijiao Yang & Mandana Jahanbozorgi & Dongin Jeong & Shuman Sun & Olivier Pfister & Hansuek Lee & Xu Yi, 2021. "A squeezed quantum microcomb on a chip," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    7. Arseny A. Sorokin & Gerd Leuchs & Joel F. Corney & Nikolay A. Kalinin & Elena A. Anashkina & Alexey V. Andrianov, 2022. "Towards Quantum Noise Squeezing for 2-Micron Light with Tellurite and Chalcogenide Fibers with Large Kerr Nonlinearity," Mathematics, MDPI, vol. 10(19), pages 1-11, September.
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