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20132026
most citedBACH: Grand Challenge on Breast Cancer Histology Images

715 citations

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6 papers · 1 filter

quant-ph2026

Traveling Salesman Problem with a preprocessing method for classical and quantum optimization

Alessia Ciacco, Luigi Di Puglia Pugliese, Francesca Guerriero

The Traveling Salesman Problem is a fundamental combinatorial optimization problem widely studied in operations research. Despite its simple formulation, it remains computationally…

quant-ph2024★ 3 cited

Quantum enhanced stratification of Breast Cancer: exploring quantum expressivity for real omics data

Valeria Repetto, Elia Giuseppe Ceroni, Giuseppe Buonaiuto +1

Quantum Machine Learning (QML) is considered one of the most promising applications of Quantum Computing in the Noisy Intermediate Scale Quantum (NISQ) era for the impact it is tho…

quant-ph2024★ 2 cited

Machine learning with sub-diffraction resolution in the photon-counting regime

Giuseppe Buonaiuto, Cosmo Lupo

The resolution of optical imaging is classically limited by the width of the point-spread function, which in turn is determined by the Rayleigh length. Recently, spatial-mode demul…

quant-ph2024★ 23 cited

Variational Quantum Algorithms for the Allocation of Resources in a Cloud/Edge Architecture

Carlo Mastroianni, Francesco Plastina, Jacopo Settino +1

Modern Cloud/Edge architectures need to orchestrate multiple layers of heterogeneous computing nodes, including pervasive sensors/actuators, distributed Edge/Fog nodes, centralized…

quant-ph2023★ 38 cited

Assessing Quantum Computing Performance for Energy Optimization in a Prosumer Community

Carlo Mastroianni, Francesco Plastina, Luigi Scarcello +2

The efficient management of energy communities relies on the solution of the "prosumer problem", i.e., the problem of scheduling the household loads on the basis of the user needs,…

quant-ph2022★ 3 cited

Quantum Computing Approach for Energy Optimization in a Prosumer Community

Carlo Mastroianni, Luigi Scarcello, Jacopo Settino

This paper presents a quantum approach for the formulation and solution of the prosumer problem, i.e., the problem of minimizing the energy cost incurred by a number of users in an…