most citedCorona: System Implications of Emerging Nanophotonic Technology

462 citations · 474 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG20244 cited

Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training

Yequan Zhao, Xian Xiao, Xinling Yu +5

Solving partial differential equations (PDEs) numerically often requires huge computing time, energy cost, and hardware resources in practical applications. This has limited their…

cs.AR2023462 cited

Corona: System Implications of Emerging Nanophotonic Technology

Dana Vantrease, Robert Schreiber, Matteo Monchiero +7

We expect that many-core microprocessors will push performance per chip from the 10 gigaflop to the 10 teraflop range in the coming decade. To support this increased performance, m…

physics.optics20233 cited

Non-volatile heterogeneous III-V/Si photonics via optical charge-trap memory

Stanley Cheung, Di Liang, Yuan Yuan +4

We demonstrate, for the first time, non-volatile charge-trap flash memory (CTM) co-located with heterogeneous III-V/Si photonics. The wafer-bonded III-V/Si CTM cell facilitates non…

physics.optics20231 cited

Fast and energy-efficient non-volatile III-V-on-silicon photonic phase shifter based on memristors

Zhuoran Fang, Bassem Tossoun, Antoine Descos +5

Silicon photonics has evolved from lab research to commercial products in the past decade as it plays an increasingly crucial role in data communication for next-generation data ce…

physics.optics20233 cited

High-Speed and Energy-Efficient Non-Volatile Silicon Photonic Memory Based on Heterogeneously Integrated Memresonator

Bassem Tossoun, Di Liang, Stanley Cheung +4

Recently, interest in programmable photonics integrated circuits has grown as a potential hardware framework for deep neural networks, quantum computing, and field programmable arr…

eess.SP20231 cited

Tensorized Optical Multimodal Fusion Network

Yequan Zhao, Xian Xiao, Geza Kurczveil +2

We propose the first tensorized optical multimodal fusion network architecture with a self-attention mechanism and low-rank tensor fusion. Simulation results show les…