Impact of AI on Electronics Material Design for Quantum Computing

Because quantum computing can solve complicated problems ten times quicker than traditional computers, it has the potential to completely transform computation. However, the implementation of useful quantum computers requires the creation of appropriate materials with quantum mechanical characteristics. New opportunities for speeding up the discovery and improvement of materials for quantum computing have been created by the introduction of artificial intelligence (AI) approaches to electronics material design. AI is transforming the design of electronic materials used in quantum computers by focusing on material property prediction, optimization, and the identification of novel candidates for qubits, superconducting materials, and topological insulators.