A5098957298- Neural Networks and Reservoir Computing
- Optical Network Technologies
- Photonic and Optical Devices
- Advanced Optical Sensing Technologies
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Advanced Memory and Neural Computing
- Quantum optics and atomic interactions
- Microfluidic and Capillary Electrophoresis Applications
- Video Coding and Compression Technologies
- Advanced Optical Imaging Technologies
Zhejiang University
2024-2025
Photonic neural networks (PNNs), as emerging analog computing paradigms, have the potential to break both power consumption wall and processing speed boundary of digital architectures. However, most reported PNNs were mainly focused on real-valued regions, where phases optical fields only utilized indirect information affect amplitudes. Moreover, quantization phase at each node multi-layer is disregarded. In this work, we propose demonstrate a Clements-enhanced complex-valued mesh (CCM) with...
Empowered by compact micro-ring (MRR) arrays, wavelength-division-multiplexing (WDM)-based focal plane switch array (FPSA) chip is a promising solution for light detection and ranging (LiDAR) due to its parallelism high-level integration. However, an MRR channel with shifting central wavelength may interrupt another dropping optical signal unexpected wavelength, which causes discontinuous beam scanning. To overcome this bottleneck, we propose fabricate hitless two-dimensional (2-D) FPSA...
Abstract Generative adversarial networks (GANs) have achieved remarkable success with realistic tasks such as creating images, texts, and audio. Combining GANs quantum computing, are thought to an exponential advantage over their classical counterparts due the stronger expressibility of circuits. In this research, a two‐qubit silicon photonic chip is created, capable executing arbitrary controlled‐unitary () operations generating any pure state, thus making it excellent platform for GANs. To...
Traditional electronic computing methods are hitting their limits as data processing demands continue to escalate. Optical neural networks (ONNs) present a promising solution overcome this challenge. The microring resonator (MRR) weight bank (WB), which provides distinct weights for various light wavelengths in optical (ONNs), is advantageous due its compact size, scalability, ease of tuning, and natural compatibility with wavelength division multiplexing (WDM). Despite these benefits, MRRs...