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Quantum Edge Detection
Santiago Llorens, Walther González, Gael Sentís +3
This paper introduces quantum edge detection, aimed at locating boundaries of quantum domains where all particles share the same pure state. Focusing on the 1D scenario of a string…
Quantum multi-anomaly detection
Santiago Llorens, Gael Sentís, Ramon Muñoz-Tapia
A source assumed to prepare a specified reference state sometimes prepares an anomalous one. We address the task of identifying these anomalous states in a series of preparatio…
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…
Robust optimal quantum learning without quantum memory
G. Sentís, J. Calsamiglia, R. Munoz-Tapia +1
A quantum learning machine for binary classification of qubit states that does not require quantum memory is introduced and shown to perform with the minimum error rate allowed by…