Enrico Greco, PhD

Enrico Greco, PhD

Enrico is a researcher in Chemistry of Materials with a passion for science communication. Currently, he is Post-doc Assistant Researcher at the Aix-Marseille University.

Articoli recenti

Generalized Holographic Principle, Gauge Invariance and the Emergence of Gravity à la Wilczek

Andrea Addazi, Pisin Chen, Filippo Fabrocini, Chris Fields, Enrico Greco, Matteo Lulli, Antonino Marcianò, Roman Pasechnik Frontiers in Astronomy and Space Science, (2021) 8:563450, June 2021DOI: 10.3389/fspas.2021.563450 Abstract:We show that a generalized version of the holographic principle can be derived from the Hamiltonian description of information flow within a quantum system that maintains a separable state. We then show that this generalizedContinue reading “Generalized Holographic Principle, Gauge Invariance and the Emergence of Gravity à la Wilczek”

Paleoproteomic profiling of organic residues on prehistoric pottery from Malta

Davide Tanasi, Annamaria Cucina, Vincenzo Cunsolo*, Rosaria Saletti, Antonella Di Francesco, Enrico Greco, Salvatore Foti Amino Acids volume 53, pages 295–312(2021)DOI: 10.1007/s00726-021-02946-4 Abstract:Mass spectrometry-based approaches have been successfully applied for identifying ancient proteins in bones and other tissues. On the contrary, there are relatively few examples of the successful recovery and identification of archeological protein residues from ceramic artifacts; this isContinue reading “Paleoproteomic profiling of organic residues on prehistoric pottery from Malta”

Deep Neural Networks as the Semi-classical Limit of Quantum Neural Networks

Antonino Marciano, Filippo Fabrocini*, Enrico Greco*, Kostas Terzidis Preprint on arXive, June 2020https://arxiv.org/abs/2007.00142 Abstract:Our work intends to show that: (1) Quantum Neural Networks (QNN) can be mapped onto spin-networks, with the consequence that the level of analysis of their operation can be carried out on the side of Topological Quantum Field Theories (TQFT); (2) Deep Neural Networks (DNN)Continue reading “Deep Neural Networks as the Semi-classical Limit of Quantum Neural Networks”

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