Data Driven Interdisciplinary Science

Research Frontiers in Quantum-Classical Hybrid Algorithms for Optimization

Development of hybrid approaches combining quantum computers with classical machine learning for solving optimization problems in chemistry and materials science.

All Data-Driven Interdisciplinary Science PhD categories