About
Quantum Generative Materials (GenMat) speeds up materials discovery by combining quantum computing and machine learning to simulate atomic structures for the energy, electronics, and manufacturing sectors. Its quantum-enhanced generative AI predicts and designs new materials with specific properties, pairing quantum algorithms with classical machine learning to search large chemical spaces and identify promising candidates more efficiently than traditional computational methods. Target applications include battery materials, semiconductors, catalysts, and advanced manufacturing materials. By using quantum computing's ability to accurately model the quantum mechanical properties of materials at the atomic level, GenMat aims to cut materials development time from years to months.
Quantum Specifications
| Quantum Focus | software |