Publications
Gradient matching of higher order combinatorial optimization in quadratic Ising machines 2024 IEEE International Conference on Rebooting Computing (ICRC) (Honorable Mention for Best Paper Award) Dmitrii Dobrynin, Mauricio Tedeschi, Arne Heittmann, John Paul Strachan.
- We propose a gradient matching algorithm that leverages existing Ising machine or in-memory Hopfield neural network architectures to approximately recover the native energy landscape of higher-order combinatorial optimization problems. This enables more efficient solving on quadratic hardware accelerators without expensive quadratization.
- Featured in Northeastern University newsletter: Brain-inspired computing co-op