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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 …
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 …
The intelligent design of silicon photonic devices
Z Li, Z Zhou, C Qiu, Y Chen, B Liang… - Advanced Optical …, 2024 - Wiley Online Library
Photonic devices based on silicon waveguides are essential to versatile high‐performance
and low‐cost photonic integrated systems. Extremely complex silicon photonic devices with …
and low‐cost photonic integrated systems. Extremely complex silicon photonic devices with …
Inverse design of compact nonvolatile reconfigurable silicon photonic devices with phase-change materials
In the development of silicon photonics, the continued downsizing of photonic integrated
circuits will further increase the integration density, which augments the functionality of …
circuits will further increase the integration density, which augments the functionality of …
Towards large-scale programmable silicon photonic chip for signal processing
Optical signal processing has been playing a crucial part as powerful engine for various
information systems in the practical applications. In particular, achieving large-scale …
information systems in the practical applications. In particular, achieving large-scale …
Self-calibrating microring synapse with dual-wavelength synchronization
As a resonator-based optical hardware in analog optical computing, a microring synapse
can be straightforwardly configured to simulate the connection weights between neurons …
can be straightforwardly configured to simulate the connection weights between neurons …
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 …
Redundancy-free integrated optical convolver for optical neural networks based on arrayed waveguide grating
Optical neural networks (ONNs) have gained significant attention due to their potential for
high-speed and energy-efficient computation in artificial intelligence. The implementation of …
high-speed and energy-efficient computation in artificial intelligence. The implementation of …
Real-valued optical matrix computing with simplified MZI mesh
The Mach–Zehnder interferometer (MZI) mesh, a mainstream structure for optical matrix-
vector multiplication (MVM), has been widely employed in recently developed optical neural …
vector multiplication (MVM), has been widely employed in recently developed optical neural …
[HTML][HTML] On-chip photonic spatial-temporal descrambler
As an indispensable part to compensate for the signal crosstalk in fiber communication
systems, conventional digital multi-input multi-output (MIMO) signal processor is facing the …
systems, conventional digital multi-input multi-output (MIMO) signal processor is facing the …