Supervisor: Davide Girolami
The PhD student will develop theoretical ideas and methods to explore the power of the quantum information machines of the next twenty years, e.g., a thousand-qubit quantum computer. You will work on one of the following themes:
1) Quantifying many-body quantum correlations. Entanglement is a central concept to quantum science, yet it is hard to quantify it. You will invent sophisticated measures that evaluate how much Entanglement is stored in multipartite quantum systems, and how fast it propagates.
References: PRL 128,010401 (2022); PRL 129,010401 (2022)
2) Discovering the physical limits to quantum technologies. You will calculate fundamental bounds to the speed and precision of quantum computers dictated by the laws of physics. You will quantify the cost of quantum processes in terms of consumption of physical resources, such as energy and time, showing how to achieve these theoretical limits in the laboratory.
References: PRL 122,010505 (2019); PRL 126,170502 (2021)
3) Quantum reinforcement learning powered by causal relations. You will develop quantitative methods to describe causal links in multipartite quantum networks. You will prove they are a computational resource that can be manipulated, designing quantum reinforcement learning algorithms which exploit causal relations between quantum systems.
References: PRL 119,140505 (2017)