Quantum Monte Carlo
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Updated
Oct 6, 2018 - C++
Quantum Monte Carlo
Detecting phase transitions from Quantum Monte Carlo datasets using the "learning by confusion" (LbC) technique. Training CNNs in PyTorch to classify phases of matter in an electron-phonon model.
Calculating Force in FermiNet
This repository contains Python implementation Path integral Quantum Monte-Carlo to find the ground state energy of the harmonic oscillator.
Repository per gli esercizi del Laboratorio di Simulazione Numerica ed.2023
Variational Monte Carlo solver for atoms and diatomic molecules written from scratch in C++. It is possible to use the output HF basis from github.com/mortele/Hartree-Fock as the Slater determinant and let the VMC scheme optimize only the Jastrow factor.
Project developed for the Numeric Simulation Laboratory A.A. 2022-2023, held by professor Davide Emilio Galli at the University of Milan, Physics Department.
Project developed for the Numeric Simulation Laboratory A.A. 2023-2024, held by professor Davide Emilio Galli at the University of Milan, Physics Department.
Variational Matrix Product Operator Monte Carlo
Project 2 for the course FYS4411 Computational Physics II. Path Integral Monte Carlo on boson systems and the Heisenberg model.
Performing variational quantum Monte Carlo (VMC) in Julia. For educational purposes.
Python realisation of Casino (QMC) program
Numerical simulation of the Quantum Harmonic Oscillator using the Path Integral formalism and MC method.
Introduction to quantum Monte Carlo. From the foundations to state-of-the-art Restricted Boltzmann Machine ansatz.
My work in the course "FYS3150 - Computational physics" at UiO. This was done in collaboration with Cecilie Glittum (https://github.uio.no/cecilgl). The original github repository can be found at https://github.uio.no/cecilgl/FYS4150
Generate error bars and perform binning analysis using jackknife or bootstrap resampling. Calculate average and error in quantum Monte Carlo data (or other data) and on functions of averages (such as fluctuations, skew, and kurtosis).
Python wrappers for TurboRVB
FPGA accelerated Path Integral Monte Carlo. Project for computational physics.
Observable for Markov chain Monte Carlo simulations
Variational Quantum Monte Carlo for a molecule, using Fokker-Planck/Langevin approach
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