211 citations · 1.1k across the 47 of their papers we have counts for
8 papers · 1 filter
Representation Learning via Quantum Neural Tangent Kernels
Junyu Liu, Francesco Tacchino, Jennifer R. Glick +2
Variational quantum circuits are used in quantum machine learning and variational quantum simulation tasks. Designing good variational circuits or predicting how well they perform…
Improving readout in quantum simulations with repetition codes
Jakob M. Günther, Francesco Tacchino, James R. Wootton +2
Near term quantum computers suffer from the presence of different noise sources. In order to mitigate for this effect and acquire results with significantly better accuracy, there…
Assessing the nature of chiral-induced spin-selectivity by magnetic resonance
A. Chiesa, M. Chizzini, E. Garlatti +8
Understanding chiral induced spin-selectivity (CISS), resulting from charge transport through helical systems, has recently inspired many experimental and theoretical efforts, but…
Learning to Measure: Adaptive Informationally Complete Generalized Measurements for Quantum Algorithms
Guillermo García-Pérez, Matteo A. C. Rossi, Boris Sokolov +5
Many prominent quantum computing algorithms with applications in fields such as chemistry and materials science require a large number of measurements, which represents an importan…
Maximally effcient quantum thermal machines fuelled by nonequilibrium steady states
Tiago F. F. Santos, Francesco Tacchino, Dario Gerace +2
The concept of thermal machines has evolved from the canonical steam engine to the recently proposed nanoscopic quantum systems as working fluids. The latter obey quantum open syst…
Molecular spin qudits for quantum simulation of light-matter interactions
Francesco Tacchino, Alessandro Chiesa, Roberta Sessoli +2
We show that molecular spin qudits provide an ideal platform to simulate the quantum dynamics of photon fields strongly interacting with matter. The basic unit of the proposed mole…