Programmable integrated photonic coherent matrix: Principle, configuring, and applications
Every multi-input multi-output linear optical system can be deemed as a matrix multiplier that
carries out a desired transformation on the input optical information, such as imaging …
carries out a desired transformation on the input optical information, such as imaging …
Analog spatiotemporal feature extraction for cognitive radio-frequency sensing with integrated photonics
Analog feature extraction (AFE) is an appealing strategy for low-latency and efficient
cognitive sensing systems since key features are much sparser than the Nyquist-sampled …
cognitive sensing systems since key features are much sparser than the Nyquist-sampled …
Correlated optical convolutional neural network with “quantum speedup”
Y Sun, Q Li, LJ Kong, X Zhang - Light: Science & Applications, 2024 - nature.com
Compared with electrical neural networks, optical neural networks (ONNs) have the
potentials to break the limit of the bandwidth and reduce the consumption of energy, and …
potentials to break the limit of the bandwidth and reduce the consumption of energy, and …
The Goldilocks principle of learning unitaries by interlacing fixed operators with programmable phase shifters on a photonic chip
Programmable photonic integrated circuits represent an emerging technology that
amalgamates photonics and electronics, paving the way for light-based information …
amalgamates photonics and electronics, paving the way for light-based information …
Signal-to-noise ratio enhancement for digitalizing low amplitude wideband signals in photonic analog-to-digital converters
R Qin, D Zhou, X Chen, L Zhang, J Wu, W Zou - Optics Express, 2024 - opg.optica.org
Photonic analog-to-digital converters (PADCs) have been investigated for nearly five
decades as a promising approach to overcome the bandwidth and jitter problem and bring …
decades as a promising approach to overcome the bandwidth and jitter problem and bring …
Programmable Photonic Neural Networks for advanced Machine Learning tasks
Photonics holds the promise of resha** Machine Learning and High-Performance
Computing hardware landscape, strip** it of unnecessary signal conversion overhead …
Computing hardware landscape, strip** it of unnecessary signal conversion overhead …