Doctoral student in Machine Learning for Reliable Quantum Computing
Project description Third-cycle subject: Computer Science This doctoral project, funded within the Wallenberg AI, Autonomous Systems and Software Program (WASP), focuses on developing machine learning methods for reliable quantum computing. The project treats quantum noise and quantum error mitigation as problems in physics-informed, structured machine learning, with particular emphasis on learning error processes from limited, noisy … Read more