218 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of CalabriaIT88 papers
- Istituto Nazionale di Fisica Nucleare, Gruppo Collegato di Cosenza46 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT26 papers
- Brookhaven National LaboratoryUS25 papers
- Stony Brook UniversityUS25 papers
- Heidelberg UniversityDE24 papers
- Max Planck Institute for PhysicsDE24 papers
- The Ohio State UniversityUS24 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di NapoliIT23 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PisaIT23 papers
- Lawrence Berkeley National LaboratoryUS23 papers
- Michigan State UniversityUS23 papers
11 papers · 1 filter
Heavy vector-like quarks decaying to exotic scalars: a case study with triplets
Avik Banerjee, Venugopal Ellajosyula, Luca Panizzi
We investigate the pair production of a vector-like quark triplet with hypercharge 5/3 decaying into top quark and a complex scalar triplet with hypercharge 1 at the LHC. This nove…
The fate of high winding number topological phases in the disordered extended Su-Schrieffer-Heeger model
Emmanuele G. Cinnirella, Andrea Nava, Gabriele Campagnano +1
We use the Lindblad equation approach to investigate topological phases hosting more than one localized state at each side of a disordered SSH chain with properly tuned long range…
Results on Elastic Cross Sections in Proton-Proton Collisions at GeV with the STAR Detector at RHIC
STAR Collaboration, M. I. Abdulhamid, B. E. Aboona +351
We report results on an elastic cross section measurement in proton-proton collisions at a center-of-mass energy GeV, obtained with the Roman Pot setup of the STAR e…
Comprehensive exploration of t-channel simplified models of dark matter
Chiara Arina, Benjamin Fuks, Jan Heisig +3
We analyse six classes of t-channel dark matter simplified models in which the Standard Model field content is extended by a coloured mediator and a dark matter state. The two new…
Spin-Hall Current and Nonlocal Transport in Ferromagnet-Free Multi-band models for SrTiO3-Based Nanodevices in the presence of impurities
Domenico Giuliano, Andrea Nava, Carmine Antonio Perroni +3
We compute the spin-Hall conductance in a multiband model describing the two-dimensional electron gas formed at a LaAlO3/SrTiO3 interface in the presence of a finite concentration…
Collision-energy Dependence of Deuteron Cumulants and Proton-deuteron Correlations in Au+Au collisions at RHIC
STAR Collaboration, M. I. Abdulhamid, B. E. Aboona +351
We report the first measurements of cumulants, up to order, of deuteron number distributions and proton-deuteron correlations in Au+Au collisions recorded by the STAR expe…
Variational Gibbs State Preparation on NISQ devices
Mirko Consiglio, Jacopo Settino, Andrea Giordano +6
The preparation of an equilibrium thermal state of a quantum many-body system on noisy intermediate-scale quantum (NISQ) devices is an important task in order to extend the range o…
Understanding Traffic Jams Using Lindblad Superoperators
Andrea Nava, Domenico Giuliano, Alessandro Papa +1
We propose a model to simulate different traffic-flow conditions in terms of quantum graphs hosting an (N+1)-level dot at each site. Our model allows us to keep track of the type a…
Uniaxial modulation and the Berezinskii-Kosterlitz-Thouless transition
Domenico Giuliano, Phong H. Nguyen, Andrea Nava +1
We present a theoretical study of the Berezinskii-Kosterlitz-Thouless transition of a two-dimensional superfluid in the presence of an externally imposed density modulation along a…
One-loop Lipatov vertex in QCD with higher -accuracy
Victor S. Fadin, Michael Fucilla, Alessandro Papa
The effective Reggeon-Reggeon-gluon vertex, known as Lipatov vertex, is the key ingredient that allows to develop the BFKL approach in QCD. Within the next-to-leading logarithmic a…
Enhancing qubit readout with Bayesian Learning
F. Cosco, N. Lo Gullo
We introduce an efficient and accurate readout measurement scheme for single and multi-qubit states. Our method uses Bayesian inference to build an assignment probability distribut…