most citedOrientation-Adaptive Virtual Imaging of Defects using EBSD

7 citations

5 papers

cs.CL2026

Decoherence as Defence and the Magnitude of Noise Regularisation: A Rigorous N -Qubit Theory of Stochastic Quantum Neural Networks for Adversarially Robust Network Intrusion Detection

Gautier-Edouard Edouard Filardo

Stochastic quantum neural networks (SQNNs) encode neuronal activations as qubits, synaptic topology as entanglement, and neural noise through a Lindblad master equation. A recent c…

math.OA2026

Crossed-Product von Neumann Algebras for Incompressible Navier--Stokes Flows and Spectral Complexity Indicators

Gautier-Edouard Edouard Filardo

We introduce a traceable operator-algebraic framework for incompressible transport on M= T3 (and, more generally, compact Riemannian manifolds endowed with a smooth invariant proba…

cs.CR2025

Enhancing NTRUEncrypt Security Using Markov Chain Monte Carlo Methods: Theory and Practice

Gautier-Edouard Filardo, Thibaut Heckmann

This paper presents a novel framework for enhancing the quantum resistance of NTRUEncrypt using Markov Chain Monte Carlo (MCMC) methods. We establish formal bounds on sampling effi…

q-bio.NC2025

A Stochastic Quantum Neural Network Model for Ai

Gautier-Edouard Filardo, Thibaut Heckmann

Artificial intelligence (AI) has drawn significant inspiration from neuroscience to develop artificial neural network (ANN) models. However, these models remain constrained by the…

cond-mat.mtrl-sci2025★ 7 cited

Orientation-Adaptive Virtual Imaging of Defects using EBSD

Nicolò M. della Ventura, James D. Lamb, William C. Lenthe +8

EBSD is a foundational technique for characterizing crystallographic orientation, phase distribution, and lattice strain. Embedded within EBSD patterns lies latent information on d…