A quantum learning approach based on Hidden Markov Models for failure scenarios generation-Reference-Cited by-同舟云学术

A quantum learning approach based on Hidden Markov Models for failure scenarios generation

Published:2022-03 Issue: Volume: Page:
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Container-title:2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML)
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Author:

Zaiou Ahmed¹,Bennani Younes²,Matei Basarab²,Hibti Mohamed³

Affiliation:

1. PERICLES, France LIPN - CNRS UMR 7030, USPN LaMSN, La Maison des Sciences Numériques,EDF Lab Saclay

2. LIPN - CNRS UMR 7030, Université Sorbonne Paris Nord LaMSN, La Maison des Sciences Numériques

3. EDF Lab Saclay, PERICLES,France

Publisher

IEEE

Link

Reference16 articles.

1. Quantum computing and the entanglement frontier;preskill;ArXiv Preprint,2012

3. Graph-based neural acceleration for nonnegative matrix factorization;sjölund;ArXiv Preprint,2022

4. Learning hidden quantum markov models;srinivasan;International Conference on Artificial Intelligence and Statistics,0

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