22 citations · 34 across the 4 of their papers we have counts for
4 papers
Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketches
Y. Cordero, S. Biswas, F. Vilariño +1
Quantum machine learning (QML) investigates how quantum phenomena can be exploited in order to learn data in an alternative way, \textit{e.g.} by means of a quantum computer. While…
Sequential hypothesis testing for continuously-monitored quantum systems
Giulio Gasbarri, Matias Bilkis, Elisabet Roda-Salichs +1
We consider a quantum system that is being continuously monitored, giving rise to a measurement signal. From such a stream of data, information needs to be inferred about the under…
Reinforcement-learning calibration of coherent-state receivers on variable-loss optical channels
Matias Bilkis, Matteo Rosati, John Calsamiglia
We study the problem of calibrating a quantum receiver for optical coherent states when transmitted on a quantum optical channel with variable transmissivity, a common model for lo…
Real-time calibration of coherent-state receivers: learning by trial and error
M. Bilkis, M. Rosati, R. Morral Yepes +1
The optimal discrimination of coherent states of light with current technology is a key problem in classical and quantum communication, whose solution would enable the realization…