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Backpropagation-free Training of Deep Physical Neural Networks
Recent years have witnessed the outstanding success of deep learning in various fields such as vision and natural language processing.
Wave-based extreme deep learning based on non-linear time-Floquet entanglement
Wave-based analog signal processing holds the promise of extremely fast, on-the-fly, power-efficient data processing, occurring as a wave propagates through an artificially engineered medium.
Reciprocal Metasurfaces for On-axis Reflective Optical Computing
Analog computing has emerged as a promising candidate for real-time and parallel continuous data processing.
Optics Applied Physics
Electromagnetic fields in a time-varying medium: Exceptional points and operator symmetries
In this paper, we study the interactions of electromagnetic waves with a non-dispersive dynamic medium that is temporally dependent.
Optics Classical Physics
