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Power of data in quantum machine learning., , , , , , and . CoRR, (2020)Construction of non-convex polynomial loss functions for training a binary classifier with quantum annealing., , , , and . CoRR, (2014)Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization., , , , , , , , , and 2 other author(s). Quantum, (2020)Bayesian Sampling Using Stochastic Gradient Thermostats., , , , , and . NIPS, page 3203-3211. (2014)OpenFermion: The Electronic Structure Package for Quantum Computers, , , , , , , , , and 8 other author(s). (2017)cite arxiv:1710.07629.The Fermionic Quantum Emulator., , , , , , , and . Quantum, (2021)Quantum advantage in learning from experiments., , , , , , , , , and 1 other author(s). CoRR, (2021)Barren plateaus in quantum neural network training landscapes., , , , and . CoRR, (2018)Bayesian Network Structure Learning Using Quantum Annealing., , , , and . CoRR, (2014)Learning to learn with quantum neural networks via classical neural networks., , , , , , , and . CoRR, (2019)