Semiclassical Propagator: Explicit Formulation

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Page 3 of 4

Introduces Variational Monte Carlo methods for discrete and continuous systems, including Jastrow states and Markov-chain Monte Carlo algorithms.

Introduces relativistic quantum mechanics, Dirac equation, positron prediction, and quantum states properties.

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Explores analytic continuation in quantum physics and the use of Monte Carlo methods.

Covers the second part of the Quantum Physics exam, focusing on format and submission guidelines.

Covers the fundamentals of Quantum Physics, including key experiments and classical magnetic moments.

Explores ponderomotive squeezing and quantum optomechanics, focusing on BAE/QND measurements and optical field-mirror interactions.

Introduces group representations theory in quantum physics, covering symmetries, perturbation theory, and energy state degeneracy.

Explores angular size in quantum physics and the Rayleigh condition.

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