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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:
Quantum (2020)
Keyphrases
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stochastic gradient descent
stochastic gradient
loss function
least squares
matrix factorization
step size
random forests
multiple kernel learning
support vector machine
global optimization
regularization parameter
feature vectors
image restoration
weight vector