147 citations · 180 across the 5 of their papers we have counts for
5 papers
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems
Filippo Vicentini, Damian Hofmann, Attila Szabó +8
We introduce version 3 of NetKet, the machine learning toolbox for many-body quantum physics. NetKet is built around neural-network quantum states and provides efficient algorithms…
Phase diagram reconstruction of the Bose-Hubbard model with a Restricted Boltzmann Machine wavefunction
Vladimir Vargas-Calderón, Herbert Vinck-Posada, Fabio A. González
Recently, the use of neural quantum states for describing the ground state of many- and few-body problems has been gaining popularity because of their high expressivity and ability…
Supervised Learning with Quantum Measurements
Fabio A. González, Vladimir Vargas-Calderón, Herbert Vinck-Posada
This paper reports a novel method for supervised machine learning based on the mathematical formalism that supports quantum mechanics. The method uses projective quantum measuremen…
Using machine learning and information visualisation for discovering latent topics in Twitter news
Vladimir Vargas-Calderón, Marlon Steibeck Dominguez, N. Parra-A. +2
We propose a method to discover latent topics and visualise large collections of tweets for easy identification and interpretation of topics, and exemplify its use with tweets from…
Pronunciation recognition of English phonemes /\textipa{@}/, /æ/, /\textipa{A}:/ and /\textipa{2}/ using Formants and Mel Frequency Cepstral Coefficients
Keith Y. Patarroyo, Vladimir Vargas-Calderón
The Vocal Joystick Vowel Corpus, by Washington University, was used to study monophthongs pronounced by native English speakers. The objective of this study was to quantitatively m…