Numerical simulation of the Quantum Harmonic Oscillator using the Path Integral formalism and MC method.
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Updated
Jul 24, 2023 - C++
Numerical simulation of the Quantum Harmonic Oscillator using the Path Integral formalism and MC method.
Calculating Force in FermiNet
This repository contains Python implementation Path integral Quantum Monte-Carlo to find the ground state energy of the harmonic oscillator.
Project developed for the Numeric Simulation Laboratory A.A. 2023-2024, held by professor Davide Emilio Galli at the University of Milan, Physics Department.
Project 2 for the course FYS4411 Computational Physics II. Path Integral Monte Carlo on boson systems and the Heisenberg model.
Quantum Monte Carlo
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.
Performing variational quantum Monte Carlo (VMC) in Julia. For educational purposes.
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.
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
Repository per gli esercizi del Laboratorio di Simulazione Numerica ed.2023
Python realisation of Casino (QMC) program
Variational Matrix Product Operator Monte Carlo
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).
Observable for Markov chain Monte Carlo simulations
Python wrappers for TurboRVB
FPGA accelerated Path Integral Monte Carlo. Project for computational physics.
Efficient continuous-time quantum Monte Carlo method for spinless fermions
Implementation of Stochastic Series Expansion Monte Carlo method for the spin-S XXZ model. https://doi.org/10.1103/PhysRevE.67.046701
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