5 citations · 17 across the 16 of their papers we have counts for
16 papers
Digital Quantum Reservoir Computing for ATM Time Series Prediction
Chiara Vercellino, Giacomo Vitali, Valeria Zaffaroni +5
We investigate a digital quantum reservoir computing (QRC) framework for multi-step forecasting of automated teller machine (ATM) cash demand time series on near-term quantum devic…
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…
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…
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…
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…
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…
Lagrange: Operating Italy's First Publicly-Accessible Quantum Computer for Research and Education
Paolo Viviani, Fabrizio Bertone, Giacomo Vitali +14
We describe the design, implementation, and nine-month operational experience of the software management stack for Lagrange, an IQM Spark five-qubit superconducting quantum compute…
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…
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…
Quantum Reservoir Computing for Credit Card Default Prediction on a Neutral Atom Platform
Giacomo Vitali, Chiara Vercellino, Paolo Viviani +9
In this paper, we define and benchmark a hybrid quantum-classical machine learning pipeline by performing a binary classification task applied to a real-world financial use case. S…
Runtime Energy Monitoring for RISC-V Soft-Cores
Alberto Scionti, Paolo Savio, Francesco Lubrano +6
Energy efficiency is one of the major concern in designing advanced computing infrastructures. From single nodes to large-scale systems (data centers), monitoring the energy consum…
Enabling Time-Aware Priority Traffic Management over Distributed FPGA Nodes
Alberto Scionti, Paolo Savio, Francesco Lubrano +5
Network Interface Cards (NICs) greatly evolved from simple basic devices moving traffic in and out of the network to complex heterogeneous systems offloading host CPUs from perform…
Hybrid Quantum-Classical Branch-and-Price Method for the Vertex Coloring Problem
Chiara Vercellino, M. Yassine Naghmouchi, Wesley Coelho +5
This paper introduces Quantum Classical Branch-and-Price (QCBP), a hybrid quantum-classical algorithm for the Vertex Coloring problem on neutral-atom Quantum Processing Units (QPUs…
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…
Assessing the Elephant in the Room in Scheduling for Current Hybrid HPC-QC Clusters
Paolo Viviani, Roberto Rocco, Matteo Barbieri +14
Quantum computing resources are among the most promising candidates for extending the computational capabilities of High-Performance Computing (HPC) systems. As a result, HPC-quant…
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…