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Stochastic gradient descent for hybrid quantum-classical optimization.

, , , , , , и . Quantum, (2020)

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Peter Schuld

Jochen Schuld

Heinz Schuld

Norbert Schuld

Yvonne Schuld

 

Другие публикации лиц с тем же именем

On quantum ensembles of quantum classifiers., , и . Quantum Mach. Intell., 2 (1): 1-8 (2020)Transfer learning in hybrid classical-quantum neural networks., , , , и . CoRR, (2019)Better than classical? The subtle art of benchmarking quantum machine learning models., , и . CoRR, (2024)Quantum Machine Learning., и . Encyclopedia of Machine Learning and Data Mining, Springer, (2017)Using word embeddings to analyse audience effects and individual differences in parenting Subreddits., , , и . EPJ Data Sci., 12 (1): 38 (декабря 2023)PennyLane: Automatic differentiation of hybrid quantum-classical computations., , , , и . CoRR, (2018)Stochastic gradient descent for hybrid quantum-classical optimization, , , , , , и . (2019)cite arxiv:1910.01155Comment: 23 pages, 5 figures.Stochastic gradient descent for hybrid quantum-classical optimization., , , , , , и . Quantum, (2020)Quantum Computing for Pattern Classification., , и . PRICAI, том 8862 из Lecture Notes in Computer Science, стр. 208-220. Springer, (2014)Machine learning and the physical sciences, , , , , , , и . (2019)cite arxiv:1903.10563.