CompPhysics

This repository contains codes and notebooks that demonstrate the application of Resolution Refinement and the Rodeo algorithm in solving complicated many-particle problems on a quantum computer. There are both codes for simpler Hamiltonians that run on classical computers as well as benchmarks that run on quantum computers.

This repository contains previous and present topics for Master of Science and PhD thesis in Computational Physics.

This repository contains notebooks which implement the PMM for various Hamiltonians and their time evolution

Course on Machine Learning and Statistical data Analysis with book at https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/intro.html. Contains Linear and Logistic Regression, Neural Networks and Deep Learning methods, Decision Trees, Random forests, Boosting methods and other ensemble methods, support vector machines and c…

Advanced course in Computational Physics, see texbook at http://compphysics.github.io/ComputationalPhysics2/doc/LectureNotes/_build/html/ with an emphasis on computational quantum mechanics, machine learning and quantum computing.

The link here gives access to various presentations and more material

This repository contains exercises and projects on computational science and AI for the CompSci program. Lecture notes at https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/intro.html