16-channel Photonic Solver for Optimization Problems on a Silicon Chip
arXiv:2407.04713 · doi:10.1016/j.chip.2024.100117
Abstract
In this article, we proposed a programmable 16-channel photonic solver for quadratic unconstrained binary optimization (QUBO) problems. The solver is based on a hybrid optoelectronic scheme including a photonic chip and the corresponding electronic driving circuit. The photonic chip is fabricated on silicon on insulator (SOI) substrate and integrates high-speed electro-optic modulators, thermo-optic phase shifters and photodetectors to conduct the 16-dimensional optical vector-matrix multiplication (OVMM). Due to the parallel and low latency propagation of lightwave, the calculation of the QUBO cost function can be accelerated. Besides, the electronic processor is employed to run the heuristic algorithm to search the optimal solution. In the experiment, two 16-dimensional randomly generated QUBO problems are solved with high successful probabilities. To our knowledge, it is the largest scale of programmable and on-chip photonic solver ever reported. Moreover, the computing speed of the OVMM on photonic chip is ~2 TFLOP/s. It shows the potential of fast solving such optimization problems with integrated photonic systems.
References in corpus (18)
- Deep Learning with Coherent Nanophotonic Circuits
- All-Optical Machine Learning Using Diffractive Deep Neural Networks
- Ising formulations of many NP problems
- Parallel convolution processing using an integrated photonic tensor core
- Single-chip photonic deep neural network for instantaneous image classification
- Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit
- Network of Time-Multiplexed Optical Parametric Oscillators as a Coherent Ising Machine
- A Coherent Ising Machine Based On Degenerate Optical Parametric Oscillators
- Large-scale photonic Ising machine by spatial light modulation
- Realizing the Hamiltonian in polariton simulators
- Noise-enhanced spatial-photonic Ising machine
- Scalable spin-glass optical simulator
- Low-rank combinatorial optimization and statistical learning by spatial photonic Ising machine
- Exact Mapping Between a Laser Network Loss Rate and the Classical XY Hamiltonian by Laser Loss Control
- Superfluid transition and specific heat of the 2D x-y model: Monte Carlo simulation
- On-demand Photonic Ising Machine with Simplified Hamiltonian Calculation by Phase encoding and Intensity Detection
- All-Optical Image Identification with Programmable Matrix Transformation
- A Programmable and Reconfigurable Photonic Simulator for Classical XY Models