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Machine learning applications for noisy intermediate-scale quantum computers [article]

Brian Coyle
2022 arXiv   pre-print
We discuss and present a framework for quantum advantage for such models, propose gradient-based training methods and demonstrate these both numerically and on the Rigetti quantum computer up to 28 qubits  ...  The second area is generative modelling using quantum computers, where we use quantum circuit Born machines to learn and sample from complex probability distributions.  ...  someone else studying quantum computing in a classical computer science doctoral training centre), Mattia Bradascio, Nicolai Oswald, Martin Kristien, Maximiliana Behnke, Aleksandr Maramzin and Margus  ... 
arXiv:2205.09414v1 fatcat:bkkzng7zfza2ndpnhq4tiqp3wa