Photonic multiplexing techniques for neuromorphic computing
The simultaneous advances in artificial neural networks and photonic integration
technologies have spurred extensive research in optical computing and optical neural …
technologies have spurred extensive research in optical computing and optical neural …
Optical neural networks: progress and challenges
Artificial intelligence has prevailed in all trades and professions due to the assistance of big
data resources, advanced algorithms, and high-performance electronic hardware. However …
data resources, advanced algorithms, and high-performance electronic hardware. However …
Higher-dimensional processing using a photonic tensor core with continuous-time data
New developments in hardware-based 'accelerators' range from electronic tensor cores and
memristor-based arrays to photonic implementations. The goal of these approaches is to …
memristor-based arrays to photonic implementations. The goal of these approaches is to …
Partial coherence enhances parallelized photonic computing
Advancements in optical coherence control,,,–have unlocked many cutting-edge
applications, including long-haul communication, light detection and ranging (LiDAR) and …
applications, including long-haul communication, light detection and ranging (LiDAR) and …
Neuromorphic computing based on wavelength-division multiplexing
Optical neural networks (ONNs), or optical neuromorphic hardware accelerators, have the
potential to dramatically enhance the computing power and energy efficiency of mainstream …
potential to dramatically enhance the computing power and energy efficiency of mainstream …
Training large-scale optoelectronic neural networks with dual-neuron optical-artificial learning
Optoelectronic neural networks (ONN) are a promising avenue in AI computing due to their
potential for parallelization, power efficiency, and speed. Diffractive neural networks, which …
potential for parallelization, power efficiency, and speed. Diffractive neural networks, which …
High-throughput terahertz imaging: progress and challenges
Many exciting terahertz imaging applications, such as non-destructive evaluation,
biomedical diagnosis, and security screening, have been historically limited in practical …
biomedical diagnosis, and security screening, have been historically limited in practical …
Chip-based high-dimensional optical neural network
X Wang, P Xie, B Chen, X Zhang - Nano-Micro Letters, 2022 - Springer
Parallel multi-thread processing in advanced intelligent processors is the core to realize
high-speed and high-capacity signal processing systems. Optical neural network (ONN) has …
high-speed and high-capacity signal processing systems. Optical neural network (ONN) has …
Nanowire-based integrated photonics for quantum information and quantum sensing
At the core of quantum photonic information processing and sensing, two major building
pillars are single-photon emitters and single-photon detectors. In this review, we …
pillars are single-photon emitters and single-photon detectors. In this review, we …
Recent progress in silicon‐based photonic integrated circuits and emerging applications
In recent years, with the further ministration of the semiconductor device in integrated
circuits, power consumption and data transmission bandwidth have become insurmountable …
circuits, power consumption and data transmission bandwidth have become insurmountable …