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Stochastic gradient descent for hybrid quantum-classical optimization.
Ryan Sweke
Frederik Wilde
Johannes Jakob Meyer
Maria Schuld
Paul K. Faehrmann
Barthélémy Meynard-Piganeau
Jens Eisert
Published in:
CoRR (2019)
Keyphrases
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stochastic gradient descent
stochastic gradient
least squares
loss function
matrix factorization
step size
random forests
regularization parameter
support vector machine
online algorithms
convergence rate
multiple kernel learning
weight vector
markov chain
particle swarm optimization
decision trees
lower bound