2 citations · 4 across the 7 of their papers we have counts for
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Scalable native signed optical computing enabled by dual-wavelength incoherent multiplexing
Yuan Ren, Yong Zheng, Ruixue Liu +4
Incoherent photonic neural networks (PNNs) provide a robust platform for analog optical computing, yet efficient implementation of native signed operations remains challenging. Exi…
High-Q Lithium Niobate Microring Resonator with Electro-Optically Reconfigurable Coupling Strength
Yuan Ren, Yong Zheng, Ruixue Liu +5
The development of sophisticated integrated photonic circuits demands microresonators that combine exceptional optical confinement with dynamic operational flexibility. Here, we de…
Near-Zero Crosstalk and Ultra-Low Loss Waveguide Crossings Enabled by three-dimensional Ta2O5-on-LNOI Integrated Photonic Platform
Boyang Nan, Yuan Ren, Rongbo Wu +5
Waveguide crossings represent one of the most critical components in very-large-scale photonic integration (VLSPI). Three-dimensional waveguide crossings, which distribute optical…
Photonic Neural Network Fabricated on Thin Film Lithium Niobate for High-Fidelity and Power-Efficient Matrix Computation
Yong Zheng, Rongbo Wu, Yuan Ren +5
Photonic neural networks (PNNs) have emerged as a promising platform to address the energy consumption issue that comes with the advancement of artificial intelligence technology,…
Gigahertz-rate-switchable wavefront shaping through integration of metasurfaces with photonic integrated circuit
Haozong Zhong, Yong Zheng, Jiacheng Sun +12
Achieving spatiotemporal control of light at high-speeds presents immense possibilities for various applications in communication, computation, metrology, and sensing. The integrat…
Electro-optically programmable photonic circuits enabled by wafer-scale integration on thin-film lithium niobate
Yong Zheng, Haozong Zhong, Haisu Zhang +10
Programmable photonic circuits performing universal linear-optical transformations underpin vital functions in photonic quantum information processing, quantum-enhanced sensor netw…