8 citations · 25 across the 12 of their papers we have counts for
7 papers · 1 filter
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…
Productive Quantum Programming Needs Better Abstract Machines
Santiago Núñez-Corrales, Olivia Di Matteo, John Dumbell +4
An effective, accessible abstraction hierarchy has made using and programming computers possible for people across all disciplines. Establishing such a hierarchy for quantum progra…
Dependable Classical-Quantum Computer Systems Engineering
Edoardo Giusto, Santiago Nuñez-Corrales, Phuong Cao +8
Quantum Computing (QC) offers the potential to enhance traditional High-Performance Computing (HPC) workloads by leveraging the unique properties of quantum computers, leading to t…
Quantum Kernel Estimation With Neutral Atoms For Supervised Classification: A Gate-Based Approach
Marco Russo, Edoardo Giusto, Bartolomeo Montrucchio
Quantum Kernel Estimation (QKE) is a technique based on leveraging a quantum computer to estimate a kernel function that is classically difficult to calculate, which is then used b…