Random matrix

Related lectures (31)

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Explores the evolution of density matrices in quantum optics, emphasizing super-operators and completely positive maps.

Covers the evolution of density matrices in quantum optics, focusing on quantum channels and amplitude damping.

Explores the Mach-Zehnder interferometer, density matrices, and detection probabilities in quantum systems.

Explores market response functions, flash crashes, correlation estimation, and noise filtering in finance.

Introduces random variables, probability distributions, and expected values through practical examples.

Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.

Covers multivariate random variables, joint Gaussian variables, and convergence of random variables.

Covers random matrix theory and the replica method to compute quantities related to non-hermitic series using the Stieltjes transform.

Introduces subgaussian and subexponential random variables, conditional expectation, and Orlicz norms.