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Column "How to Design Decision Making? : For Social Innovation with Numerical Optimization (Part 2)" is now available.
Column "How to Design Decision Making? : For Social Innovation with Numerical Optimization (Part 1)" is now available.
Optimization problems exist frequently in everyday life.
When the problem is simple, it can be solved with experience and intuition, but recently the number of complex problems has increased, making it difficult to solve them with the performance of ordinary computers.
As a result, a mathematical approach and dedicated computing technology are required.
The use of annealing machines is left to engineers, but business people are also expected to play a role in problem solving, so the Annealing Cloud Web provides explanations for both.
The processing performance of computers has improved dramatically over time, but it has become clear that optimization problems that meet certain conditions are difficult to solve using conventional computers.
In particular, annealing machines and quantum computers are being considered for efficiently solving combinatorial optimization problems.
Optimization is found all around us. In general, optimization is about determining the best option for you. When there are only a few options to choose from, you can determine a good solution (= combination of variables) using experience and intuition, but as the number of variables to choose from increases, this becomes more difficult. Therefore, we use mathematical approaches and dedicated computing technology (annealing machines) to find a better solution.
Although it is engineers who actually use annealing machines, business people are expected to play a role in solving problems. Therefore, Annealing Cloud Web provides explanations not only for engineers but also for business people.
Expert in mathematical approaches and computing technology
A generalist who promotes problem solving in management and business
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In the ”About” section, you can read about an overview of the NEDO project that sponsors this site, information on the technology, and specifications of CMOS annealing from its birth to the current state-of-the-art prototypes, and a collection of links to publications and other resources.
In the "Learn" section, you will learn about annealing and Ising models, their mathematical background, and their use cases.
Also, a diagnostic tool is available to determine if annealing can help solve your problem.
In the "Play" section, you can play with demo applications and Web APIs running on a real CMOS annealing machine (ASIC version). The Ising editor is a visualization of the same loosely coupled Ising model as the real machine, allowing you to see what the process looks like on the Ising model and the numerical output values.
With the free Web API, you can try to solve the problem yourself.