all AI news
An example of use of Variational Methods in Quantum Machine Learning. (arXiv:2208.04316v1 [quant-ph])
Aug. 10, 2022, 1:10 a.m. | Marco Simonetti, Damiano Perri, Osvaldo Gervasi
cs.LG updates on arXiv.org arxiv.org
This paper introduces a deep learning system based on a quantum neural
network for the binary classification of points of a specific geometric pattern
(Two-Moons Classification problem) on a plane. We believe that the use of
hybrid deep learning systems (classical + quantum) can reasonably bring
benefits, not only in terms of computational acceleration but in understanding
the underlying phenomena and mechanisms; that will lead to the creation of new
forms of machine learning, as well as to a strong …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Enterprise AI Architect
@ Oracle | Broomfield, CO, United States
Cloud Data Engineer France H/F (CDI - Confirmé)
@ Talan | Nantes, France