Quantum Computing and Machine Learning
This blog post looks at how quantum computers can contribute to algorithms for machine learning, specifically in the training of large-scale classical models. It also looks at how fault-tolerant quantum computing could provide efficient resolutions for generic (stochastic) gradient descent algorithms.
Jens Eisert
Scientist, professor of quantum physics at @FU_Berlin and affiliated with @HZBde and @FraunhoferHHI. @jenseisert@qubit-social.xyz on Mastodon.
