Quantum machine learning for biomedical data analysis

The project will explore state-of-the-art recent developments on quantum computing and quantum-inspired machine learning. This research area, albeit in its infancy in comparison with conventional deep learning, has huge potential for growth, as evidenced by the massive investments governmental and industrial organizations are devoting to quantum computing. The project will explore both methodological and applied aspects, and will make use of real quantum hardware, as well as quantum simulators and libraries (e.g. IBM's Qiskit, Xanadu's Pennylane, Google's Tensorflow Quantum, etc).