OIM: Oscillator-based Ising Machines for Solving Combinatorial Optimisation Problems
arXiv:1903.07163
Abstract
We present a new way to make Ising machines, i.e., using networks of coupled self-sustaining nonlinear oscillators. Our scheme is theoretically rooted in a novel result that establishes that the phase dynamics of coupled oscillator systems, under the influence of sub-harmonic injection locking, are governed by a Lyapunov function that is closely related to the Ising Hamiltonian of the coupling graph. As a result, the dynamics of such oscillator networks evolve naturally to local minima of the Lyapunov function. Two simple additional steps (i.e., adding noise, and turning sub-harmonic locking on and off smoothly) enable the network to find excellent solutions of Ising problems. We demonstrate our method on Ising versions of the MAX-CUT and graph colouring problems, showing that it improves on previously published results on several problems in the G benchmark set. Our scheme, which is amenable to realisation using many kinds of oscillators from different physical domains, is particularly well suited for CMOS IC implementation, offering significant practical advantages over previous techniques for making Ising machines. We present working hardware prototypes using CMOS electronic oscillators.
References in corpus (7)
- Ising formulations of many NP problems
- Defining and detecting quantum speedup
- Network of Time-Multiplexed Optical Parametric Oscillators as a Coherent Ising Machine
- Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer
- Stochastic p-bits for Invertible Logic
- An electromechanical Ising machine
- Solving maximum cut problems by simulated annealing
Cited by in corpus (4)
- Late Breaking Results: New Computational Results and Hardware Prototypes for Oscillator-based Ising Machines
- Frequency-tunable nano-oscillator based on Ovonic Threshold Switch (OTS)
- A CMOS-compatible Ising Machine with Bistable Nodes
- A Graph Decomposition motivated by the Geometry of Randomized Rounding