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Stochastic Gradient Line Bayesian Optimization: Reducing Measurement Shots in Optimizing Parameterized Quantum Circuits.
Shiro Tamiya
Hayata Yamasaki
Published in:
CoRR (2021)
Keyphrases
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stochastic gradient
quantum computing
stochastic gradient descent
nearest neighbor classifier
logic circuits
grassmann manifold
bayesian networks
step size
training data
video sequences
learning algorithm
support vector