4 citations · 13 across the 10 of their papers we have counts for
10 papers
Operational protocols cannot certify classicality
Chris Fields, James F. Glazebrook, Antonino Marcianò +1
The existence and practical utility of operational protocols that certify entanglement raises the question of whether operational protocols exist that certify the absence of entang…
Amplituhedra for generic quantum processes via the TQNN representation of UQC
Chris Fields, James F. Glazebrook, Antonino Marcianò +1
We study the relationship between computation and scattering both operationally (hence phenomenologically) and formally. We develop a representation of universal quantum computatio…
Whether a quantum computation employs nonlocal resources is operationally undecidable
Chris Fields, James F. Glazebrook, Antonino Marciano +1
Computational complexity characterizes the usage of spatial and temporal resources by computational processes. In the classical theory of computation, e.g. in the Turing Machine mo…
ER = EPR is an operational theorem
Chris Fields, James F. Glazebrook, Antonino Marciano +1
We show that in the operational setting of a two-agent, local operations, classical communication (LOCC) protocol, Alice and Bob cannot operationally distinguish monogamous entangl…
A geometric phase approach to quark confinement from stochastic gauge-geometry flows
Torsten Asselmeyer-Maluga, Antonino Marciano, Roman Pasechnik +1
We apply a stochastic version of the geometric (Ricci) flow, complemented with the stochastic flow of the gauge Yang--Mills sector, in order to seed the chromo-magnetic and chromo-…
The exact evaluation of hexagonal spin-networks and topological quantum neural networks
Matteo Lulli, Antonino Marciano, Emanuele Zappala
The physical scalar product between spin-networks has been shown to be a fundamental tool in the theory of topological quantum neural networks (TQNN), which are quantum neural netw…
Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation
Antonino Marciano, Emanuele Zappala, Tommaso Torda +5
Deep Neural Networks miss a principled model of their operation. A novel framework for supervised learning based on Topological Quantum Field Theory that looks particularly well su…
On the dynamical emergence of from the regularization of gravity with cosmological constant
Niels Gresnigt, Antonino Marciano, Emanuele Zappala
The quantization of the reduced phase-space of the Einstein-Hilbert action for gravity in has been shown to bring about the emergence, at the quantum level, of a topological…
Braided matter interactions in quantum gravity via 1-handle attachment
Niels Gresnigt, Antonino Marciano, Emanuele Zappala
In a topological description of elementary matter proposed by Bilson-Thompson, the leptons and quarks of a single generation, together with the electroweak gauge bosons, are repres…
Deep Neural Networks as the Semi-classical Limit of Quantum Neural Networks
Antonino Marciano, Deen Chen, Filippo Fabrocini* +7
Our work intends to show that: (1) Quantum Neural Networks (QNN) can be mapped onto spinnetworks, with the consequence that the level of analysis of their operation can be carried…