Projects

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Thence
A main challenge in quantum technology development is mitigating or, conversely, exploting the interaction with the environment. THENCE tackles this by devising effective TDDFT methods, exploring measurement-induced phase transitions and designing spin Hamiltonians in engineered photonic lattices.
Thence
ASpEQCt
The ultimate limit to heat generation by computers – a key issue for developing new information technology devices - must be evaluated from a thermodynamics of computation standpoint. A lower bound is set by the Landauer limit, at which computation becomes thermodynamically reversible.
ASpEQCt
Harnessing topological phases for quantum technologies
This PRIN project aims at identifying, characterizing and effectively detecting a number of topological and/or non-Hermitian properties with potential applications for quantum technologies in engineered setups comprising atoms coupled to photonic baths with tailored non-trivial structure.
Harnessing topological phases for quantum technologies
HyQelm
The objective of HYQELM is to develop hybrid quantum algorithms for implementation on Quantum Extreme Learning Machines (QELM), leveraging their fault tolerance for use in the Noisy, Intermediate-Scale Quantum (NISQ) regime.
HyQelm
QuCom
QuCoM's core goal is to establish the initial-level feasibility of an accelerometer based on levitated nanomechanics. We aim to achieve this by studying the interaction between quantum mechanics and gravity at a level that allows for cost-effective experiments on a standard lab table.
QuCom
Times
The interplay of correlated, and coherent behavior in electrons, spins, photons, and nuclei within materials holds the key to unlocking a new era of quantum technologies. By delving into the ultrafast dynamics of these systems under non-equilibrium conditions, we can pave the way for breakthroughs in quantum computing, information storage, energy-efficient light-emitting devices, and single-photon sources.
Times
QuReCo
QuReCo aims to push forward our current understanding of quantum reservoir computing, through the development of a precise characterization of the optimal architectures taking into account the features of the specific platforms used, as well as the impact of noise and thermodynamic constraints.
QuReCo