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This repo is to contain material from the University of Toronto Quantum Machine Learning Course by Prof. Peter Wittek on edX

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Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
00_Introduction		00_Introduction
01_Classical_and_Quantum_Probability_Distributions		01_Classical_and_Quantum_Probability_Distributions
02_Measurements_and_Mixed_States		02_Measurements_and_Mixed_States
03_Evolution_in_Closed_and_Open_Systems		03_Evolution_in_Closed_and_Open_Systems
04_Classical_and_Quantum_Many-Body_Systems		04_Classical_and_Quantum_Many-Body_Systems
05_Gate-Model_Quantum_Computing		05_Gate-Model_Quantum_Computing
06_Adiabatic_Quantum_Computing		06_Adiabatic_Quantum_Computing
07_Variational_Circuits		07_Variational_Circuits
README.md		README.md

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Quantum Machine Learning course by Prof. Peter Wittek from the University of Toronto on edx

This repository will include material covered by the online course including tutorial scripts for topics (written as .py files) and jupyter notebooks corresponding to the assignments.

In the future, there will be hopefully be typed up notes for each topic on LaTeX

-Sonam Ghosh