RF and microwave photonic high bandwidth signal processing based on Kerr micro-comb sources

Moss, David J.

doi:10.36227/techrxiv.12665609.v4

Cited by 6 publications

(1 citation statement)

References 155 publications

(234 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently [121], we reviewed transversal filtering and bandwidth scaling methods based on Kerr microcombs, as applied to RF and microwave spectral filters followed by a review of temporal based signal processing [129]. In this paper, we review recent progress in microwave and RF photonic based channelizers based on Kerr micro-combs.…”

Section: Introductionmentioning

confidence: 99%

Photonic Microwave and Radio Frequency Channelizers based on Optical Kerr Micro-combs

Moss¹

2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Photonic Microwave and Radio Frequency Channelizers based on Optical Kerr Micro-combs

Moss¹

2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

High Optical Kerr Nonlinearity of PdSe2 Di-chalcogenide 2D Films for Nonlinear Photonic Chips

Moss¹,

Wu²,

Jia³

2021

Preprint

View full text Add to dashboard Cite

As a novel layered noble metal dichalcogenide material, palladium diselenide (PdSe2) has attracted wide interest due to its excellent optical and electronic properties. In this work, a strong third-order nonlinear optical response of 2D PdSe2 films is reported. We conduct both open-aperture (OA) and closed-aperture (CA) Z-scan measurements with a femtosecond pulsed laser at 800 nm to investigate the nonlinear absorption and nonlinear refraction, respectively. In the OA experiment, we observe optical limiting behaviour originating from large two photo absorption (TPA) in the PdSe2 film of β = 3.26 ×10− 8 m/W. In the CA experiment, we measure a peak-valley response corresponding to a large and negative Kerr nonlinearity of n2 = -1.33×10− 15 m2/W – two orders of magnitude larger than bulk silicon. In addition, the variation of n2 as a function of laser intensity is also characterized, with n2 decreasing in magnitude when increasing incident laser intensity, becoming saturated at n2 = -9.96×10− 16 m2/W at high intensities. Our results show that the extraordinary third-order nonlinear optical properties of PdSe2 have strong potential for high-performance nonlinear photonic devices.

show abstract

Photonic perceptron at Giga-OP/s speeds with Kerr microcombs for scalable optical neural networks

Tan¹,

Xu²,

Moss³

2021

Preprint

View full text Add to dashboard Cite

Optical artificial neural networks (ONNs) have significant potential for ultra-high computing speed and energy efficiency. We report a novel approach to ONNs that uses integrated Kerr optical micro-combs. This approach is programmable and scalable and is capable of reaching ultra-high speeds. We demonstrate the basic building block ONNs — a single neuron perceptron — by mapping synapses onto 49 wavelengths to achieve an operating speed of 11.9 x 109 operations per second, or Giga-OPS, at 8 bits per operation, which equates to 95.2 gigabits/s (Gbps). We test the perceptron on handwritten-digit recognition and cancer-cell detection — achieving over 90% and 85% accuracy, respectively. By scaling the perceptron to a deep learning network using off-the-shelf telecom technology we can achieve high throughput operation for matrix multiplication for real-time massive data processing.

show abstract

RF and microwave photonic high bandwidth signal processing based on Kerr micro-comb sources

Cited by 6 publications

References 155 publications

Photonic Microwave and Radio Frequency Channelizers based on Optical Kerr Micro-combs

Photonic Microwave and Radio Frequency Channelizers based on Optical Kerr Micro-combs

High Optical Kerr Nonlinearity of PdSe2 Di-chalcogenide 2D Films for Nonlinear Photonic Chips

Photonic perceptron at Giga-OP/s speeds with Kerr microcombs for scalable optical neural networks

Contact Info

Product

Resources

About