collaborators

5 papers

quant-ph2026

A unified quantum computing quantum Monte Carlo framework through structured state preparation

Giuseppe Buonaiuto, Antonio Marquez Romero, Brian Coyle +4

We extend Quantum Computing Quantum Monte Carlo (QCQMC) beyond ground-state energy estimation by systematically constructing the quantum circuits used for state preparation. Replac…

quant-ph2026

Quantum Randomized Subspace Iteration

Stefano Scali, Brian Coyle, Giuseppe Buonaiuto +1

Resolving degenerate quantum eigenspaces - including topologically ordered ground states and frustrated magnets - requires preparing high-fidelity states that span every direction…

quant-ph2026

Study of nuclear magnetic resonance spectra with the multi-modal multi-level quantum complex exponential least squares algorithm

Antonio Marquez Romero, Josh J. M. Kirsopp, Giuseppe Buonaiuto +1

We present a novel application of the multi-modal, multi-level quantum complex exponential least squares (MM-QCELS) algorithm, a state-of-the-art, early fault-tolerant quantum phas…

quant-ph2025

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-ph2025

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…