Quantum Machine Learning

Quantum Machine Learning takes advantage of the Quantum Computing Paradigm and hardware to solve different types of problems. The Quantum Machine Learning Group (QML-CVC) is an emerging group at CVC aiming at carrying out research in this particular field of AI.  The group is coordinated by Prof. Fernando Vilariño (physicist and expert in Machine Learning and Computer Vision), with an interdisciplinary team of physicists, mathematicians and computer scientists.

This is a new area of research that has shown recent improvements in different fields, and excellent resources already exist as software libraries that allow for the implementation of quantum algorithms (Qiskit, Pennylane, Cirq, and others). The research will focus on a hybrid Classical-Quantum and Quantum-inspired approach, in areas of work such as generative models for quantum computing and quantum graph networks -among others-, addressing methods that could potentially open the door to explorative pathways to machine learning and computer vision in the field of Quantum Computing.