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Those who have followed the path of science may not need an explanation as to why an annealing machine derives the optimal solution from the cost function, but for those who have not, it may not be quite so clear.

To solve optimization problems, events must be expressed numerically.

Let me explain how to formulate the equation in light of the case of the 'Image Noise Reduction' demo application on this site.

An annealing machine is a technique for solving combinatorial optimization problems through a mechanism in which the ground state of the Ising model (the state with the lowest energy) gives the optimal solution by setting preconditions that result in the optimal solution.

In the second part, we will discuss the structural specifications and technical challenges of the annealing machine that actually derives the ground state of the Ising model.

Solving a combinatorial optimization problem with an annealing machine requires a process called Ising model formulation.

This tutorial explains the processing of the annealing machine in the demonstration application 'Image noise reduction'.

This tutorial explains the processing of the annealing machine in the demonstration application 'Building network robustness'

The Ising editor is a learning tool that provides a visual representation of the CMOS annealing machine in action, but it is a unique tool for visually seeing what to input to the CMOS annealing machine and how to obtain a solution.

This demo app is to solve the problem of estimating the original image from a noisy black and white image with an annealing machine.

This demo app is to solve combinatorial optimization problems with an annealing machine taking as an example a problem called vertex cover problem of graph.

This article provides an exercise to realize a signal control system to relieve traffic congestion as a signal control system by processing it with a CMOS annealing machine as a combinatorial optimization problem.