Let's learn Optimization using an Annealing Machine.
To create a better world.
News
The article on "Chapter 2: Math for Annealing Engineer" is rewrote and published.
The ACW skill roadmap has been renewed! Reading the content will increase your skill acquisition rate in your role. Give it a try.
The article "Annealing Machine and Technologies for Decision-Making" is now available.
What's Annealing Cloud Web ?
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.
Basic knowledge of optimization and Annealing Machines
These articles provide an introduction to the basic knowledge
that engineers and business people should have in common.
Towards combinatorial optimization
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.
Improving society through mathematical technology
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.
For people involved in solving problems
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.
Choose from your roles and Learn
In Annealing Cloud Web, learning content is categorized according to multiple roles
in order to apply optimization technology to real-world problems.
Engineer
Expert in mathematical approaches and computing technology
- Turning requirements into an optimization problem
- Choose the right method to get the solution
- Obtaining optimal solutions with Annealing Machines
Business person (data strategist)
A generalist who promotes problem solving in management and business
- Set solutions to achieve their business strategy
- Clarify the requirements to achieve their own goals
- Identify the data they need to solve the problem
Learn from the process of solving optimization problems
The project of solving an optimization problem begins with defying business person (a data strategist) who has set a business goal verbalizing the problem.
You can choose to read content based on your own or your team members' perspective or a situation that is close to you.
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Contents
ABOUT
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.
Learn
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.
Play
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.