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quant-ph2025
On Quantum Perceptron Learning via Quantum Search
Xiaoyu Sun, Mathieu Roget, Giuseppe Di Molfetta +1
With the growing interest in quantum machine learning, the perceptron, a fundamental building block in traditional machine learning, has emerged as a valuable model for exploring t…
quant-ph2023
Quantum collision circuit, quantum invariants and quantum phase estimation procedure for fluid dynamic lattice gas automata
Niccolo Fonio, Pierre Sagaut, Giuseppe Di Molfetta
Lattice Gas Cellular Automata (LGCA) is a classical numerical method widely known and applied to simulate several physical phenomena. In this paper, we study the translation of LGC…
quant-ph2023
Large-Scale Quantum Separability Through a Reproducible Machine Learning Lens
Balthazar Casalé, Giuseppe Di Molfetta, Sandrine Anthoine +1
The quantum separability problem consists in deciding whether a bipartite density matrix is entangled or separable. In this work, we propose a machine learning pipeline for finding…