10.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Istituto Nazionale di Fisica Nucleare, Sezione di PaviaIT2.8k papers
- European Organization for Nuclear ResearchCH2.1k papers
- The Ohio State UniversityUS2k papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT2k papers
- National and Kapodistrian University of AthensGR2k papers
- Centre National de la Recherche ScientifiqueFR2k papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1.9k papers
- Istituto Nazionale di Fisica Nucleare, Sezione di BolognaIT1.9k papers
- Sapienza University of RomeIT1.9k papers
- University of PisaIT1.9k papers
- University of BolognaIT1.9k papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT1.8k papers
13 papers · 2 filters
Collapse dynamics and Hilbert-space stochastic processes
Daniele Bajoni, Oreste Nicrosini, Alberto Rimini +1
Spontaneous collapse models of state vector reduction represent a possible solution to the quantum measurement problem. In the present paper we focus our attention on the Ghirardi-…
Two strategies for modeling nonlinear optics in lossy integrated photonic structures
Milica Banic, Luca Zatti, Marco Liscidini +1
We present two complementary strategies for modeling nonlinear quantum optics in realistic integrated optical devices, where scattering loss is present. In the first strategy, we m…
Beyond photon pairs: Nonlinear quantum photonics in the high-gain regime
N. Quesada, L. G. Helt, M. Menotti +2
Integrated optical devices will play a central role in the future development of nonlinear quantum photonics. Here we focus on the generation of high-gain nonclassical light within…
The time-energy uncertainty relation for quantum events
Matteo Fadel, Lorenzo Maccone
Textbook quantum mechanics treats time as a classical parameter, and not as a quantum observable with an associated Hermitian operator. For this reason, to make sense of usual time…
Quantum state features of the FEL radiation from the occupation number statistics
Fabio Benatti, Stefano Olivares, Giovanni Perosa +5
The statistical features of the radiation emitted by Free-Electron Lasers (FELs), either by Self-Amplified Spontaneous Emission (SASE-FELs) or by seeded emission (seeded-FELs), are…
Multilevel quantum thermodynamic swap engines
Massimiliano F. Sacchi
We study energetic exchanges and fluctuations in two-stroke quantum thermodynamic engines where the working fluid is represented by two multilevel quantum systems, i.e. qudits, the…
Generation of Photon Pairs by Stimulated Emission in Ring Resonators
Milica Banic, Marco Liscidini, J. E. Sipe
Third-order parametric down-conversion (TOPDC) describes a class of nonlinear interactions in which a pump photon is converted into a photon triplet. This process can occur spontan…
High-Dimensional Methods for Quantum Homodyne Tomography
Nicola Mosco, Lorenzo Maccone
We provide optimized recursion relations for homodyne tomography. We improve previous methods by mitigating the divergences intrinsic in the calculation of the pattern functions us…
Dynamical localization simulated on actual quantum hardware
Andrea Pizzamiglio, Su Yeon Chang, Maria Bondani +3
Quantum computers are invaluable tools to explore the properties of complex quantum systems. We show that dynamical localization of the quantum sawtooth map, a highly sensitive qua…
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…
Variational learning for quantum artificial neural networks
Francesco Tacchino, Stefano Mangini, Panagiotis Kl. Barkoutsos +4
In the last few years, quantum computing and machine learning fostered rapid developments in their respective areas of application, introducing new perspectives on how information…
Quantum computing models for artificial neural networks
Stefano Mangini, Francesco Tacchino, Dario Gerace +2
Neural networks are computing models that have been leading progress in Machine Learning (ML) and Artificial Intelligence (AI) applications. In parallel, the first small scale quan…
Invariant Neural Network Ansatz for weakly symmetric Open Quantum Lattices
Davide Nigro
We consider -dimensional open quantum lattices whose time evolution is governed by a master equation which is weakly symmetric under the action of a finite group that is a s…