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Quantum Sparse Recovery and Quantum Orthogonal Matching Pursuit
Armando Bellante, Stefano Vanerio, Stefano Zanero
We study quantum sparse recovery in non-orthogonal, overcomplete dictionaries: given coherent quantum access to a state and a dictionary of vectors, the goal is to reconstruct the…
quant-ph2025★ 24 cited
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection Systems
Armando Bellante, Tommaso Fioravanti, Michele Carminati +2
Quantum computing promises to revolutionize our understanding of the limits of computation, and its implications in cryptography have long been evident. Today, cryptographers are a…