Path Integral Quantum Mechanics

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Page 3 of 4

Principles of Quantum Mechanics: Harmonic Oscillator

Explains quantum mechanics principles, focusing on harmonic oscillators and probability distributions.

Quantum Mechanics Basics

Covers the basics of quantum mechanics, focusing on solving the non relativistic Schrodinger equation.

Quantum General Physics: Wave Function and Schrödinger Equation

Explores the wave function, Schrödinger equation, classical-quantum mechanics relationship, and eigenvalue problem in quantum physics.

Fourier Transform and Sampling

Covers the Fourier transform of sampled signals, reconstruction, and harmonic response.

Sampling: Signal Reconstruction and Aliasing

Covers the importance of sampling, signal reconstruction, and aliasing in digital representation.

Markov Chain Monte Carlo: Detailed Balance & Neural Networks

Covers Markov chain Monte Carlo and neural networks' role in quantum states representation and ground state approximation for frustrated spins systems.

Generative Models: Boltzmann Machine

Covers generative models, focusing on Boltzmann machines and constrained maximization using Lagrange multipliers.

Signals & Systems I: Sampling and Reconstruction

Explores ideal sampling, Fourier transformation, spectral repetition, and analog signal reconstruction.

Sampling: DT-time processing of CT signals

Covers the importance of sampling in signal processing, including the sampling theorem and signal reconstruction.

Introduction to Sampling

Covers the concept of sampling, the sampling theorem, signal reconstruction, and the conversion of analogue signals to digital signals.