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Quantum Techniques in Machine Learning 2020
9 November, 2020 - 12 November, 2020
Quantum Techniques in Machine Learning (QTML) is an annual international conference
focusing on the interdisciplinary field of quantum technology and machine learning. The goal of the conference is to gather leading academic researchers and industry players to interact through a series of scientific talks focussed on the interplay between machine learning and quantum physics.
Example topics at QTML include, but are not limited to:
Quantum algorithms for machine learning tasks
Quantum state reconstruction from data
Machine learning for experimental quantum information
Machine learning for Hamiltonian learning
Variational quantum algorithms
Learning and optimization with hybrid quantum-classical methods
Quantum machine learning applications for industry
Tensor network methods and quantum-inspired machine learning
Data encoding and processing in quantum systems
Quantum learning theory