Photonic matrix multiplication lights up photonic accelerator and beyond
Matrix computation, as a fundamental building block of information processing in science
and technology, contributes most of the computational overheads in modern signal …
and technology, contributes most of the computational overheads in modern signal …
Prospects and applications of photonic neural networks
C Huang, VJ Sorger, M Miscuglio… - … in Physics: X, 2022 - Taylor & Francis
Neural networks have enabled applications in artificial intelligence through machine
learning, and neuromorphic computing. Software implementations of neural networks on …
learning, and neuromorphic computing. Software implementations of neural networks on …
Silicon microring synapses enable photonic deep learning beyond 9-bit precision
Deep neural networks (DNNs) consist of layers of neurons interconnected by synaptic
weights. A high bit-precision in weights is generally required to guarantee high accuracy in …
weights. A high bit-precision in weights is generally required to guarantee high accuracy in …
Broadband physical layer cognitive radio with an integrated photonic processor for blind source separation
The expansion of telecommunications incurs increasingly severe crosstalk and interference,
and a physical layer cognitive method, called blind source separation (BSS), can effectively …
and a physical layer cognitive method, called blind source separation (BSS), can effectively …
A system-on-chip microwave photonic processor solves dynamic RF interference in real time with picosecond latency
Radio-frequency interference is a growing concern as wireless technology advances, with
potentially life-threatening consequences like interference between radar altimeters and 5 G …
potentially life-threatening consequences like interference between radar altimeters and 5 G …
High-capacity space-division multiplexing communications with silicon photonic blind source separation
C Huang, D Wang, W Zhang, B Wang… - Journal of Lightwave …, 2022 - ieeexplore.ieee.org
Space-division multiplexing is a widely used technique to improve data-carrying capacities
in both wireless and optical communication systems. However, tightly packed spatial …
in both wireless and optical communication systems. However, tightly packed spatial …
Real-time photonic blind interference cancellation
Abstract mmWave devices can broadcast multiple spatially-separated data streams
simultaneously in order to increase data transfer rates. Data transfer can, however, be …
simultaneously in order to increase data transfer rates. Data transfer can, however, be …
Physics to system-level modeling of silicon-organic-hybrid nanophotonic devices
The continuous growth in data volume has sparked interest in silicon-organic-hybrid (SOH)
nanophotonic devices integrated into silicon photonic integrated circuits (PICs). SOH …
nanophotonic devices integrated into silicon photonic integrated circuits (PICs). SOH …
A photonics-inspired compact network: toward real-time AI processing in communication systems
Machine learning methods are ubiquitous in communication systems and have proven
powerful for applications including radio-frequency (RF) fingerprinting, automatic modulation …
powerful for applications including radio-frequency (RF) fingerprinting, automatic modulation …
On neural architectures for deep learning-based source separation of co-channel OFDM signals
We study the single-channel source separation problem involving orthogonal frequency-
division multiplexing (OFDM) signals, which are ubiquitous in many modern-day digital …
division multiplexing (OFDM) signals, which are ubiquitous in many modern-day digital …