Abstract:

Abstract:

Quantum machine learning is a new and rapidly growing research field within quantum information. It studies the use of quantum computers to enhance the efficiency of machine learning algorithms, for example for pattern recognition and big data analysis, and, conversely, the use of classical machine learning techniques in quantum physics, for example for the design of new quantum experiments.

The long-term goals and visions of our project are to (i) contribute towards a general theory of quantum learning within the agent-environment framework; (ii) integrate methods of reinforcement learning with protocols of quantum information; (iii) apply learning agents to the study of complex quantum systems; (iv) bring the field closer to experimental realizations.