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Lecture
Stochastic Numerical Methods for Quantum Systems
Description
This lecture covers topics such as exact diagonalization, iterative diagonalization, real-time dynamics, quantum information, mean field states, matrix product state form, Metropolis-Hastings algorithm, and computing properties as stochastic averages. The instructor discusses the practical implementation in Python and provides examples related to many-body quantum systems.
Official source
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