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Numerical Simulation Laboratory at Unimi in 2020-2021 (D.E. Galli). Advanced Monte Carlo methods: Markov chains, Metropolis algorithm. Numerical simulations in statistical mechanics. Stochastic calculus and stochastic differential equation. Computational intelligence, stochastic optimization. Parallel computing and parallel programming. Machine learning and deep neural networks
Simulating a 1-D Ising chain with compressed quantum matchgates
Metropolis Monte Carlo Simulations of an Ising System in 1D and 2D via a GUI
Simulation of 1D Ising model and visualized all the numerical configurations and energy level degenercy, to find the intersection with Boltzmann distribution function. 2D Ising model, etc.
Project developed for the Numeric Simulation Laboratory A.A. 2022-2023, held by professor Davide Emilio Galli at the University of Milan, Physics Department.
A library to calculate the thermodynamic properties of a 1D Ising spin chain with beyond nearest-neighbor interactions.