Showa Denko has quantum computing technology
Showa Denko has demonstrated that it is possible to dramatically speed up the time required to search for optimal formulations of semiconductor materials, from several decades to several tens of seconds, using quantum computing technology. Semiconductor materials contain a large number of ingredients such as resins, fillers and additives in various mixing ratios; by optimising these formulations high-performance materials are obtained. However, the theoretical number of combinations for the development theme being working on is enormous, exceeding 10 to the 50th power. Thus, it would take decades to explore all possible combinations of these ingredients and their mixing ratios with conventional artificial intelligence (AI) models, and for this reason only a portion of the theoretical combinations had been extracted to search for the optimal combination of formulations. To reduce the time required for the exploration, focus was put on Fujitsu Ltd’s Digital Annealer(1), the first quantum-inspired digital technology(2). In order to utilise Digital Annealer, input in the form of an Ising model(3), an analysis method of statistical mechanics, is required. The company was successful in expressing an originally developed AI model, capable of predicting the characteristics of semiconductor materials from the complex compounding conditions of materials, in the Ising model. By simulating the Ising model on Digital Annealer, the required exploration time has been reduced to tens of seconds, or about 1/72,000 of the time required by conventional AI models, which search by conditions limiting the type and amount of compounding. In addition, we were able to obtain a formula that achieves 30% higher performance as a semiconductor material. In a “Long-term Vision for Newly Integrated Company,” the Showa Denko Group announced that it would commit itself to the research and development of AI and computational science, the core of its fundamental R&D activities. The results of this development are […]