Computational Quantum Physics

Related lectures (32)

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Explores the semi-classical propagator and perturbative analysis of decoupled systems, focusing on classical motion dynamics.

Covers path-integral ground state methods and Monte Carlo simulations in computational quantum physics.

Covers the semi-classical spectral density and barrier penetration examples.

Explores quantum density matrix, mixed states, von Neumann entropy, and quantum measurements.

Covers the application of Markov chains and algorithms for function optimization and graph colorings.

Explores Biased Monte Carlo Markov Chain, including Bayes-optimal estimation and Metropolis-Hastings algorithm.

Explores the historical development of quantum mechanics and information theory, focusing on the double slit experiment and quantum phenomena.

Explores non-perturbative effects in quantum physics, focusing on instantons in the double well potential.

Covers the concept of path integral in quantum physics, focusing on phase space path integral and real space path integral.

Covers Markov chains and their applications in algorithms, focusing on Markov Chain Monte Carlo sampling and the Metropolis-Hastings algorithm.