Quantum reservoir computing with nonlinear optics: experimental continuous variable memory control

Photonics quantum networks play a crucial role in quantum information processing by enabling efficient distribution and manipulation of quantum states of light. Femtosecond pulses, when combined with nonlinear interactions, generate entangled multimode outputs, which can be enhanced through mode-selective homodyne detection, forming quantum cluster states. These naturally arising nonlinearities and correlations, integrated with optical or electronic feedback, serve as a foundation for quantum reservoir computing (QRC). We present a scalable, room-temperature approach to quantum computing without single-photon sources or detectors. We report a proof-of-principle experimental realization of QRC using pump phase encoding with electronic feedback, with ongoing efforts focused on optimizing implementations through pulse shaping. Additionally, we explore a novel measurement-based QRC protocol using cluster states and teleportation, where measurements drive input encoding, processing, and time series monitoring.

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Published
2025-09-17
DOI
https://doi.org/10.1117/12.3063910
Primary Topic
Neural Networks and Reservoir Computing
Type
article
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article

Quantum reservoir computing with nonlinear optics: experimental continuous variable memory control

Johan Henaff, Valentina Parigi, Roberta Zambrini, Jorge García‐Beni et al.
Neural Networks and Reservoir Computing
article

Quantum reservoir computing with nonlinear optics: experimental continuous variable memory control

Johan Henaff, Valentina Parigi, Roberta Zambrini, Jorge García‐Beni, Iris Paparelle
article en

Abstract

Photonics quantum networks play a crucial role in quantum information processing by enabling efficient distribution and manipulation of quantum states of light. Femtosecond pulses, when combined with nonlinear interactions, generate entangled multimode outputs, which can be enhanced through mode-selective homodyne detection, forming quantum cluster states. These naturally arising nonlinearities and correlations, integrated with optical or electronic feedback, serve as a foundation for quantum reservoir computing (QRC). We present a scalable, room-temperature approach to quantum computing without single-photon sources or detectors. We report a proof-of-principle experimental realization of QRC using pump phase encoding with electronic feedback, with ongoing efforts focused on optimizing implementations through pulse shaping. Additionally, we explore a novel measurement-based QRC protocol using cluster states and teleportation, where measurements drive input encoding, processing, and time series monitoring.

Centre National de la Recherche Scientifique (FR), Laboratoire Kastler Brossel (FR), École Normale Supérieure - PSL (FR), Sorbonne Université (FR), Institute for Cross-Disciplinary Physics and Complex Systems (ES)
Openalex Percentile: Top 87%
Neural Networks and Reservoir Computing
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Quantum reservoir computing with nonlinear optics: experimental continuous variable memory control — Johan Henaff, Valentina Parigi, et al. · (2025) | TGRS Research Map | TGRS