Lectures related to Computational Quantum Physics

Explains the representation for evolution in quantum mechanics and the application of path integrals.

Quantum Mechanics: Path Integral Formulation

Covers the path integral formulation of Quantum Mechanics, emphasizing its advantages and connection with statistical mechanics.

Eigenvalue Problems: Methods and Applications

Explores eigenvalue problems, iterative methods, and their applications in quantum physics and network analysis.

Berni Alder Prize: Celebrating 50 Years of CECAM

Commemorates 50 years of CECAM and the Berni J. Alder CECAM Prize, covering milestones in computational methods, quantum mechanics, slip motion, and more.

Time-Independent Perturbation Theory: Degenerate Case

Explores time-independent perturbation theory in the degenerate case within quantum physics.

Eigenvalue Problems: Methods and Applications

Explores eigenvalue problems, iterative methods, convergence properties, and applications in computational physics.

Perturbation Theory: Time-Dependent Disturbance Theory

Explores time-dependent perturbations in quantum physics and their solutions under various disturbance scenarios.

Path Integral Methods: Convergence and Computational Techniques

Covers path integral methods, focusing on convergence and computational techniques for quantum systems.

Quantum Mechanics: Schrödinger Equation

Explores the Schrödinger equation in quantum mechanics, numerical methods, and properties of observables.

Quantum Mechanics: Composite Systems and Angular Momentum

Explores quantum mechanics concepts applied to composite systems and angular momentum, emphasizing the importance of understanding the basics.

Computational Science and Engineering: Master Program Overview

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

Double Slit Experiment and Quantum Information Processing

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

Quantum Physics: Exercises on General Physics

Covers exercises related to quantum physics and mathematical calculations involving trigonometric functions.

Efficient Stochastic Numerical Methods

Explores efficient stochastic numerical methods for modeling and learning, covering topics like the Analytical Engine and kinase inhibitors.

Stochastic numerical methods for many-body quantum systems

Explores stochastic methods for quantum systems, including exact diagonalization, variational methods, neural networks, and machine learning.

Density Operators in Quantum Physics II

Explores density operators in quantum physics, emphasizing their role in describing quantum system states.

Quantum Physics: Wave Nature and Measurement Interpretation

Explores wave nature, Schrödinger's equation solutions, and quantum measurement interpretation.

Quantum Mechanics: Sidney Coleman's Lecture

Explores Sidney Coleman's humorous take on Quantum Mechanics, emphasizing deterministic evolution and the challenges of interpreting quantum reality.

Quantum to Classical Mechanics: MD & MC Simulations

Covers Molecular Dynamics and Monte Carlo Simulations, transitioning from Quantum to Classical Mechanics in computational chemistry.

Quantum Physics: Historical Introduction and Schtenger-Lach Experiment

Delves into the historical development and significance of quantum physics, highlighting the failure of classical physics and the key Schtenger-Lach experiment.