output
20192026
most citedAttention-based Clinical Note Summarization

38 citations

26 papers

quant-ph2026★ 1 cited

Harnessing a 256-qubit Neutral Atom Simulator for Graph Classification

Edoardo Giusto, Gabriele Iurlaro, Bartolomeo Montrucchio +5

Neutral atom platforms are analogue quantum simulators that offer the possibility to map graphs onto a 2D qubit register using programmable Rubidium atoms arrays, whose valence ele…

quant-ph2026★ 4 cited

Neural-powered unit disk graph embedding: qubits connectivity for some QUBO problems

Chiara Vercellino, Paolo Viviani, Giacomo Vitali +5

Graph embedding is a recurrent problem in quantum computing, for instance, quantum annealers need to solve a minor graph embedding in order to map a given Quadratic Unconstrained B…

quant-ph2026★ 3 cited

Neural optimization for quantum architectures: graph embedding problems with Distance Encoder Networks

Chiara Vercellino, Giacomo Vitali, Paolo Viviani +5

Quantum machines are among the most promising technologies expected to provide significant improvements in the following years. However, bridging the gap between real-world applica…

quant-ph2026★ 5 cited

BBQ-mIS: a parallel quantum algorithm for graph coloring problems

Chiara Vercellino, Giacomo Vitali, Paolo Viviani +5

Among the limitations of current quantum machines, the qubits count represents one of the most critical challenges for porting reasonably large computational problems, such as thos…

quant-ph2026

Harnessing DEN models for quantum computing tasks on neutral atom QPUs

Chiara Vercellino, Giacomo Vitali, Paolo Viviani +3

We present our work on effectively representing unit-disk graphs on the registers of neutral atom quantum machines. Specifically, we aimed to embed graphs corresponding to proteins…

quant-ph2026★ 1 cited

Three ways to share a QPU: Scheduling strategies for hybrid Quantum-HPC applications

Marco Cipollini, Simone Rizzo, Sergio Iserte +21

As quantum computing (QC) technologies mature, their integration into established high-performance computing (HPC) infrastructures is becoming a central objective for next-generati…

quant-ph2026

Quantum-Assisted Design of Space-Terrestrial Integrated Networks

Chiara Vercellino, Giacomo Vitali, Paolo Viviani +5

Achieving ubiquitous global connectivity requires integrating satellite and terrestrial networks, particularly to serve remote and underserved regions. In this work, we investigate…

astro-ph.CO2025★ 2 cited

Dark Energy Survey Year 3 results: Simulation-based CDM inference from weak lensing and galaxy clustering maps with deep learning: Analysis design

A. Thomsen, J. Bucko, T. Kacprzak +99

Data-driven approaches using deep learning are emerging as powerful techniques to extract non-Gaussian information from cosmological large-scale structure. This work presents the f…

astro-ph.CO2025

Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 6: Impact of systematic uncertainties on the cosmological analysis

Euclid Collaboration, L. Blot, K. Tanidis +309

Extracting cosmological information from the Euclid galaxy survey will require modelling numerous systematic effects during the inference process. This implies varying a large numb…

astro-ph.CO2025

Euclid preparation XCVII. Cosmology Likelihood for Observables in Euclid (CLOE). 4: Validation and performance

Euclid Collaboration, M. Martinelli, A. Pezzotta +334

The Euclid satellite will provide data on the clustering of galaxies and on the distortion of their measured shapes, which can be used to constrain and test the cosmological model.…

astro-ph.CO2025

Cosmology Likelihood for Observables in \Euclid (CLOE). 1. Theoretical recipe

Euclid Collaboration, V. F. Cardone, S. Joudaki +323

As the statistical precision of cosmological measurements increases, the accuracy of the theoretical description of these measurements needs to increase correspondingly in order to…

quant-ph2025★ 2 cited

Dynamic Solutions for Hybrid Quantum-HPC Resource Allocation

Roberto Rocco, Simone Rizzo, Matteo Barbieri +16

The integration of quantum computers within classical High-Performance Computing (HPC) infrastructures is receiving increasing attention, with the former expected to serve as accel…

cs.CR2024★ 1 cited

An Efficient TLS 1.3 Handshake Protocol with VC Certificate Type

Leonardo Perugini, Andrea Vesco

The paper presents a step forward in the design and implementation of a Transport Layer Security (TLS) handshake protocol that enables the use of Verifiable Credential (VC) while m…

physics.plasm-ph2024

Inferring the scrape-off layer heat flux width in a divertor with a low degree of axisymmetry

C. Marsden, X. Zhang, M. Moscheni +7

Plasma facing components (PFCs) in the next generation of tokamak devices will operate in challenging environments, with heat loads predicted to exceed 10 MWm. The magnitude…

physics.plasm-ph2024

Experimental observations of bifurcated power decay lengths in the near Scrape-Off Layer of tokamak plasmas

X Zhang, C Marsden, M Moscheni +14

The scrape-off layer parallel heat flux decay lengths measured at ST40, a high field, low aspect ratio spherical tokamak, have been observed to bifurcate into two groups. The wide…

cs.CR2024★ 1 cited

Building Trust in Data for IoT Systems

Davide Margaria, Alberto Carelli, Andrea Vesco

Nowadays, Internet of Things platforms are being deployed in a wide range of application domains. Some of these include use cases with security requirements, where the data generat…

cs.CR2023★ 2 cited

A Novel DID Method Leveraging the IOTA Tangle and its Integration into OpenSSL

Alessio Claudio, Andrea Vesco

This paper presents, for the first time, a novel Decentralized IDentifier (DID) Method called Over-The-Tangle and discusses its design and working principles that leverage the IOTA…

cs.CR2023★ 18 cited

On the Integration of Self-Sovereign Identity with TLS 1.3 Handshake to Build Trust in IoT Systems

Leonardo Perugini, Andrea Vesco

The centralized PKI is not a suitable solution to provide identities in large-scale IoT systems. The main problem is the high cost of managing X.509 certificates throughout their l…

cs.LG2023★ 1 cited

Deep Learning for real-time neural decoding of grasp

Paolo Viviani, Ilaria Gesmundo, Elios Ghinato +9

Neural decoding involves correlating signals acquired from the brain to variables in the physical world like limb movement or robot control in Brain Machine Interfaces. In this con…

cs.CR2023★ 9 cited

Combining Decentralized IDentifiers with Proof of Membership to Enable Trust in IoT Networks

Alessandro Pino, Davide Margaria, Andrea Vesco

The Self-Sovereign Identity (SSI) is a decentralized paradigm enabling full control over the data used to build and prove the identity. In Internet of Things networks with security…

cs.CV2022★ 1 cited

5G Features and Standards for Vehicle Data Exploitation

Gorka Velez, Edoardo Bonetto, Daniele Brevi +6

Cars capture and generate huge volumes of data in real-time about the driving dynamics, the environment, and the driver and passengers' activities. Due to the proliferation of coop…

physics.comp-ph2021★ 29 cited

Radiation and Scattering of EM Waves in Large Plasmas Around Objects in Hypersonic Flight

A. Scarabosio, J. L. Araque Quijano, J. Tobon +5

Hypersonic flight regime is conventionally defined for Mach larger than 5; in these conditions, the flying object becomes enveloped in a plasma. This plasma is densest in thin surf…

cs.CL2021★ 38 cited

Attention-based Clinical Note Summarization

Neel Kanwal, Giuseppe Rizzo

In recent years, the trend of deploying digital systems in numerous industries has hiked. The health sector has observed an extensive adoption of digital systems and services that…

cs.MA2021★ 8 cited

Engineering Swarms of Cyber-Physical Systems with the CPSwarm Workbench

Micha Sende, Melanie Schranz, Gianluca Prato +3

Engineering swarms of cyber-physical systems (CPSs) is a complex process. We present the CPSwarm workbench that creates an automated design workflow to ease this process. This form…