Tackling the Challenge of a Huge Materials Science Search Space with Quantum‐Inspired Annealing
Kan Hatakeyama‐Sato, Takahiro Kashikawa, Kôichi Kimura, Kenichi Oyaizu
Abstract
Efficient screening of chemicals is essential for exploring new materials. However, the search space is astronomically large, making calculations with conventional computers infeasible. For example, an N ‐component system of organic molecules generates >10 60 N candidates. Here, a quantum‐inspired annealing machine is used to tackle the challenge of the large search space. The prototype system extracts candidate chemicals and their composites with desirable parameters, such as melting temperature and ionic conductivity. The system can be at least 10 4 –10 8 times faster than conventional approaches. Such dramatic acceleration is critical for exploring the enormous search space in virtual screening of materials.