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  1. Home
  3. Combinatorial Optimization With Kerr Solitons.
  1. Home
  3. Combinatorial Optimization With Kerr Solitons.

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Rapid Repetition Rate Fluctuation Measurement of Soliton Crystals in a Microresonator
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Published on: December 15, 2021

Combinatorial optimization with Kerr solitons.

Yan Jin1,2, Nitesh Chauhan1,2, Jizhao Zang1,2

  • 1Time and Frequency Division, National Institute of Standards and Technology, Boulder, CO USA.

Science Advances
|May 22, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Researchers developed a novel Ising machine using light-based solitons to solve complex computational problems. This optical approach offers a promising path for faster, more efficient computing beyond digital limits.

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Area of Science:

  • * Physics and Applied Sciences
  • * Photonics and Optical Engineering
  • * Computer Science and Engineering

Background:

  • * Digital computing faces scaling challenges, driving innovation in physical systems mimicking neural networks and optimization problems.
  • * Light, as an efficient information carrier, presents opportunities for direct information processing if effective interactions can be harnessed.
  • * Kerr microresonator solitons offer a stable and controllable platform for optical information processing.

Purpose of the Study:

  • * To develop and implement an Ising machine using an ensemble of Kerr microresonator solitons.
  • * To demonstrate programmable all-to-all interactions for solving complex computational problems.
  • * To evaluate the performance of the optical Ising machine against digital solvers for the Boolean satisfiability problem.

Main Methods:

  • * Harnessing hundreds of Kerr microresonator solitons in an analog feedback network.
  • * Implementing programmable all-to-all interactions by tuning feedback parameters.
  • * Utilizing spin-like bifurcation in solitons for universal interactions.
  • * Solving the Boolean satisfiability problem (SAT) using the developed Ising machine.

Main Results:

  • * Successfully created an Ising machine with fully programmable interactions using Kerr solitons.
  • * Demonstrated rapid and precise solutions for complex SAT instances.
  • * Achieved low energy and time costs per feedback step (~0.15 mW/soliton and 1 µs).
  • * Exceeded the performance of benchmark digital SAT solvers in >10,000 trials on >100 SAT instances.

Conclusions:

  • * The optical Ising machine shows significant potential for computation acceleration.
  • * Convergence of optical nonlinearity, ultralow loss photonics, and optoelectronics is key for future computing tasks.
  • * This approach offers a viable alternative for solving computationally intensive problems like SAT.