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17 March 2023 Realtime computing with femtosecond laser pulses
Tingyi Zhou, Bahram Jalali
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Proceedings Volume PC12406, Real-time Measurements, Rogue Phenomena, and Single-Shot Applications VIII; PC1240604 (2023) https://doi.org/10.1117/12.2656434
Event: SPIE LASE, 2023, San Francisco, California, United States
Abstract
We introduce an ultralow latency computing technique that utilizes femtosecond pulses for the classification of optical data. Spectral mapping of data onto femtosecond pulses and transformation utilizing the Nonlinear Schrodinger Kernel reduces the latency in data classification by several orders of magnitude and increases inference accuracy in experiments. Closed-loop optimization and training of the optical nonlinearities is achieved using spectral phase-encoding and leads to improvement in the accuracy of data classification in time-stretch microscopy.
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Tingyi Zhou and Bahram Jalali "Realtime computing with femtosecond laser pulses", Proc. SPIE PC12406, Real-time Measurements, Rogue Phenomena, and Single-Shot Applications VIII, PC1240604 (17 March 2023); https://doi.org/10.1117/12.2656434
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KEYWORDS
Femtosecond phenomena
Artificial intelligence
Nonlinear optics
Metrology
Modulation
Neural networks
Semiconductors
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