Abstract Coherent Ising machines (CIMs) constitute a promising approach to solve
computationally hard optimization problems by mapping them to ground state searches of …

Ising machines based on analog systems have the potential to accelerate the solution of
ubiquitous combinatorial optimization problems. Although some artificial spins to support …

Solving combinatorial optimization problems is becoming increasingly important in modern
society, where the analysis and optimization of unprecedentedly complex systems are …

The dynamics of driven-dissipative systems is shown to be well-fitted for achieving efficient
combinatorial optimization. The proposed method can be applied to solve any combinatorial …

The analysis and optimization of complex systems can be reduced to mathematical
problems collectively known as combinatorial optimization. Many such problems can be …

Combinatorial optimization problems are crucial for widespread applications but remain
difficult to solve on a large scale with conventional hardware. Novel optical platforms, known …

Many problems in mathematics, statistical mechanics, and computer science are
computationally hard but can often be mapped onto a ground-state-search problem of the …

This paper draws attention to a hardware system which can be engineered so that its
intrinsic physics is described by the generalized Ising model and can encode the solution to …

Physical annealing systems provide heuristic approaches to solving combinatorial
optimization problems. Here, we benchmark two types of annealing machines—a quantum …

Abstract The Hodgkin–Huxley model for action potential generation in biological axons is
central for understanding the computational capability of the nervous system and emulating …