Quantum Machine Learning - 13 - Strategies to Solve the Many-Body Problem (Roger Melko)

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Quantum Machine Learning MOOC, created by Peter Wittek from the University of Toronto in Spring 2019.

Lecture 13: Strategies to Solve the Many-Body Problem

Peter disappeared in the Himalayas due to an avalanche in September 2019. I upload those videos as a tribute to him and his passion for open knowledge. Thanks Peter for everything you've done for us!

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hi sir, what are the prerequisites to learn quantum machine learning

prabalghosh
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Temporal mathematical approaches pertaining to quantum gravity analytics quantum entangled to quantum systems where the entropy from any wavefunction can be evolved in to never ending quantum algorithm gates ergo evertts universal wavefunction -(the multiverse but limited pertaining to said power user results implementation), can be exploited once humanity ascertains such quantum gravity processes. Many body holographic temporal quantum annealing, so to speak.

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