Computational Quantum Physics

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Classical and Quantum Mechanics: Foundations and Applications

Explores classical and quantum mechanics, covering observables, momentum, Hamiltonian, and the Schrödinger equation, as well as quantum chemistry and the Schrödinger's cat experiment.

Quantum Physics: Interpretations and Dynamics

Explores quantum physics concepts, dynamics, interpretations, and implications on classical mechanics.

Stochastic Differential Equations: Mean-Field Inference

Explores inference for stochastic differential equations, focusing on numerical methods and convergence analysis.

Monte Carlo Simulation of 2D Spin Systems

Explores Monte Carlo simulation of 2D spin systems and the Ising model.

Computational Geomechanics

Covers the basics of computational geomechanics, including poroelasticity, plasticity, and numerical methods for solving geotechnical problems.

Master's Program in Computational Science and Engineering

Outlines the Master's program in Computational Science and Engineering at EPFL, detailing its structure, curriculum, and career opportunities for graduates.

Quantum Physics: Series 23 Question 6

Delves into solving Series 23 Question 6 in Quantum Physics.

Lightcone Conformal Truncation and S-matrix Bootstrap

Delves into lightcone conformal truncation and the S-matrix bootstrap method for quantum field theory computations.

Principles of Quantum Mechanics: Wave-Particle Dualism

Explores the wave-particle dualism in quantum mechanics and the quantification of energy levels in atoms.

Quantum Density Matrix Formalism

Covers the formalism of quantum density matrices and their applications in quantum mechanics.