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Universal Sequential Changepoint Detection of Quantum Observables via Classical Shadows
Matteo Zecchin, Osvaldo Simeone, Aaditya Ramdas
We study sequential quantum changepoint detection in settings where the pre- and post-change regimes are specified through constraints on the expectation values of a finite set of…
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis
Petros Georgiou, Sharu Theresa Jose, Osvaldo Simeone
In a manner analogous to their classical counterparts, quantum classifiers are vulnerable to adversarial attacks that perturb their inputs. A promising countermeasure is to train t…
Statistical Complexity of Quantum Learning
Leonardo Banchi, Jason Luke Pereira, Sharu Theresa Jose +1
Recent years have seen significant activity on the problem of using data for the purpose of learning properties of quantum systems or of processing classical or quantum data via qu…