Covers numerical solutions to Schrödinger equations, quantum Monte Carlo simulations, tensor networks, quantum algorithms, and machine-learning approaches.
Explores computational methods in quantum physics, emphasizing exact diagonalization and space discretization techniques.
Explores exact diagonalization methods for indistinguishable particles in quantum physics, focusing on Fock spaces and occupation numbers.
Introduces Variational Monte Carlo methods for discrete and continuous systems, including Jastrow states and Markov-chain Monte Carlo algorithms.
Explores neural quantum states and their representation using artificial neural networks.
