Photonic matrix multiplication lights up photonic accelerator and beyond

Matrix computation, as a fundamental building block of information processing in science and technology, contributes most of the computational overheads in modern signal processing and artificial intelligence algorithms. Photonic accelerators are designed to accelerate specific categories of computing in the optical domain, especially matrix multiplication, to address the growing demand for computing resources and capacity. Photonic matrix multiplication has much potential to expand the domain of telecommunication, and artificial intelligence benefiting from its superior performance. Recent research in photonic matrix multiplication has flourished and may provide opportunities to develop applications that are…

• NN
  National Natural Science Foundation of China

  Awards: 62075075, 61805090
• ZU
  Zhejiang University

  Award: 310027
• UO
  University of Shanghai for Science and Technology
• SK
  State Key Laboratory of Modern Optical Instrumentation
• UO
  University of Illinois at Urbana-Champaign