On the Quantum versus Classical Learnability of Discrete Distributions.

Ryan Sweke Jean-Pierre Seifert Dominik Hangleiter Jens Eisert

Published in: CoRR (2020)

Keyphrases

quantum computation
quantum mechanics
efficient algorithms to compute
probability distribution
finite automata
boolean functions
discrete space
discrete version
machine learning
learning algorithm
training data
finite number
continuous data
heavy tailed
uniform convergence
quantum computing