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Related lectures (29)

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Explores examples of absorbing chains in discrete-time Markov chains, focusing on transition probabilities.

Covers quantum eigenfunctions and the importance of A and B commuting for the same set of eigenfunctions.

Introduces quantum perturbation theory and its systematic approach to solving perturbed quantum systems.

Covers momentum, energy, and angular momentum in various scenarios.

Covers the Runge-Kutta method for approximating solutions of differential equations.

Covers the theory of time-independent perturbations and the harmonic oscillator.

Covers examples of absorbing Markov chains in discrete time.

Covers the fundamentals of quantum physics, focusing on Hamiltonians, Schrödinger's equation, and magnetic resonance.

Covers the analysis of continuous-time stochastic processes in the context of linear systems.

Explores the Stern-Gerlach experiment, strong measurements, cavity quantum electrodynamics, and quantum optomechanics.