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quant-ph2022

Evaluating the Convergence of Tabu Enhanced Hybrid Quantum Optimization

Enrico Blanzieri, Davide Pastorello, Valter Cavecchia +2

In this paper we introduce the Tabu Enhanced Hybrid Quantum Optimization metaheuristic approach useful for optimization problem solving on a quantum hardware. We address the theore…

quant-ph2020

Geometric viewpoint on the quantization of a fuzzy logic

Davide Pastorello

Within the Hamiltonian framework, the propositions about a classical physical system are described in the Borel σ-algebra of a symplectic manifold (the phase space) where logical c…

quant-ph2020

Bell inequality violation by entangled single photon states generated from a laser, a LED or a Halogen lamp

M. Pasini, N. Leone, S. Mazzucchi +3

In single-particle or intraparticle entanglement, two degrees of freedom of a single particle, e.g., momentum and polarization of a single photon, are entangled. Single-particle en…

quant-ph2019

Learning adiabatic quantum algorithms for solving optimization problems

Davide Pastorello, Enrico Blanzieri

An adiabatic quantum algorithm is essentially given by three elements: An initial Hamiltonian with known ground state, a problem Hamiltonian whose ground state corresponds to the s…

quant-ph2018

Quantum Annealing Learning Search for solving QUBO problems

Enrico Blanzieri, Davide Pastorello

In this paper we present a novel strategy to solve optimization problems within a hybrid quantum-classical scheme based on quantum annealing, with a particular focus on QUBO proble…