218 citations · 1k across the 17 of their papers we have counts for
17 papers
Unsupervised classification of quantum data
Gael Sentís, Alex Monràs, Ramon Muñoz-Tapia +2
We introduce the problem of unsupervised classification of quantum data, namely, of systems whose quantum states are unknown. We derive the optimal single-shot protocol for the bin…
Inductive supervised quantum learning
Alex Monràs, Gael Sentís, Peter Wittek
In supervised learning, an inductive learning algorithm extracts general rules from observed training instances, then the rules are applied to test instances. We show that this spl…
Quantum learning of classical stochastic processes: The Completely-Positive Realization Problem
Alex Monràs, Andreas Winter
Among several tasks in Machine Learning, a specially important one is that of inferring the latent variables of a system and their causal relations with the observed behavior. Lear…
Witnessing quantum coherence in the presence of noise
Alex Monras, Agata Chȩcińska, Artur Ekert
We address the problem of assessing the coherent character of physical evolution. We take the quantum Zeno effect (QZE) as a characteristic trait of quantum dynamics, and derive re…
Phase space formalism for quantum estimation of Gaussian states
Alex Monras
We formulate, with full generality, the asymptotic estimation theory for Gaussian states in terms of their first and second moments. By expressing the quantum Fisher information (Q…
Entanglement quantification by local unitaries
A. Monras, G. Adesso, S. M. Giampaolo +3
Invariance under local unitary operations is a fundamental property that must be obeyed by every proper measure of quantum entanglement. However, this is not the only aspect of ent…