5 papers
Quantum Vehicle Routing Problem: a smart initialization strategy for ill-conditioned optimization landscapes
Emanuele Casciaro, Mario De Simone, Stefano Martina +3
With the expansion of complex transport infrastructure, new paths for linking different destinations have emerged, allowing the definition of multiple routes. The introduction of n…
Quantum anomaly detection in real scarce data
Emanuele Casciaro, Fabio Mascherpa, Alfonso Amendola +1
Anomaly detection on small and unbalanced datasets remains very challenging in machine learning, although this scenario is common in several domains, including healthcare, cybersec…
Divide et Impera quantum neural networks for modular hybrid computing architectures
Emanuele Casciaro, Fabio Mascherpa, Alfonso Amendola +1
Quantum machine learning is rapidly emerging as a promising and potentially more sustainable approach that can complement traditional, energy-hungry HPC, AI, and GPU resources-part…
Extension of the Jordan-Wigner mapping to nonorthogonal spin orbitals for quantum computing application to valence bond approaches
Alessia Marruzzo, Mosè Casalegno, Piero Macchi +4
Quantum computing offers a promising platform to address the computational challenges inherent in quantum chemistry, and particularly in valence bond (VB) methods, which are chemic…
Variational-Adiabatic Quantum Solver for Systems of Linear Equations with Warm Starts
Claudio Sanavio, Fabio Mascherpa, Alessia Marruzzo +2
We propose a revisited variational quantum solver for linear systems, designed to circumvent the barren plateau phenomenon by combining two key techniques: adiabatic evolution and…