30 citations · 80 across the 9 of their papers we have counts for
9 papers · 1 filter
Statistical Characterization of Entanglement Degradation Under Markovian Noise in Composite Quantum Systems
Nunzia Cerrato, Sauro Succi, Giacomo De Palma +1
Understanding how noise degrades entanglement is crucial for the development of reliable quantum technologies. While the Markovian approximation simplifies the analysis of noise, i…
Quantitative convergence of trained quantum neural networks to a Gaussian process
Anderson Melchor Hernandez, Filippo Girardi, Davide Pastorello +1
We study quantum neural networks where the generated function is the expectation value of the sum of single-qubit observables across all qubits. In [Girardi \emph{et al.}, arXiv:24…
The multimode conditional quantum Entropy Power Inequality and the squashed entanglement of the multimode extreme bosonic Gaussian channels
Alessandro Falco, Giacomo De Palma
We prove the multimode conditional quantum Entropy Power Inequality for bosonic quantum systems. This inequality determines the minimum conditional von Neumann entropy of the outpu…
Optimal local work extraction from bipartite quantum systems in the presence of Hamiltonian couplings
Raffaele Salvia, Giacomo De Palma, Vittorio Giovannetti
We investigate the problem of finding the local analogue of the ergotropy, that is the maximum work that can be extracted from a system if we can only apply local unitary transform…
Limitations of variational quantum algorithms: a quantum optimal transport approach
Giacomo De Palma, Milad Marvian, Cambyse Rouzé +1
The impressive progress in quantum hardware in the last years has raised the interest of the quantum computing community in harvesting the computational power of such devices. Howe…
Hamiltonian singular value transformation and inverse block encoding
Seth Lloyd, Bobak T. Kiani, David R. M. Arvidsson-Shukur +5
The quantum singular value transformation is a powerful quantum algorithm that allows one to apply a polynomial transformation to the singular values of a matrix that is embedded a…