Quantum information

Supervisor: Davide Girolami

• How fast is quantum information? 
The student will calculate the maximum propagation speed of quantum information in many-particle systems of interest for the physics of condensed matter and for the development of quantum technologies (e.g. spin chains). Among the main applications, schemes for the rapid generation of multipartite entanglement and optimization of quantum computer programming are identified.
• How do quantum particles think? Physical principles of quantum machine learning. The student will employ quantum information theory methods to determine the usefulness of coherence and quantum correlations, e.g. entanglement, in developing machine learning algorithms. In particular, (s)he will work on the mathematical formalization and experimental verification of quantum reinforcement learning protocols.
• Study of quantum limits to information manipulation 
The student will calculate the consumption of physical resources that are required by quantum processes, including noisy quantum dynamics. (S)he will quantify the minimum cost in terms of energy, time, and quantum gates to synthesize fundamental quantum algorithms, such as the ones required to engineer highly entangled quantum states.