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Awesome Qiskit presentations
A collection of machine learning examples and tutorials.
For IBM Quantum Challenge Africa 2021, 9 September (07:00 UTC) - 20 September (23:00 UTC).
User-friendly open-source software to design and solve tight-binding models, addressing electronic properties, topology, interactions, non-collinear magnetism, and unconventional superconductivity,…
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
📚 A detailed guide to deep learning: http://yerevann.com/a-guide-to-deep-learning/
Curated list of awesome papers and resources in quantum machine learning
A repository of hints and solutions for Michael Nielsen and Isaac Chuang's Book, Quantum Computation and Quantum Information, 10th Anniversary Edition.
"Quantum attention functions are the keys to quantum machine learning." ― Amit Ray
Tutorials and programming exercises for learning Q# and quantum computing
Code for "Machine Learning for Physicists" lecture series by Florian Marquardt
Google Collaboratory notebooks for the SDSS 2020 workshop on "Introduction to programming quantum computers"
Solution for Quantum Computation and Quantum Information by Nielsen and Chuang
Solutions to most Chapter 3 and 4 Exercises in Nielsen And Chuang
This repository contains code with tutorials of how to approach optimization problems using quantum computing.
[ARCHIVED] A university quantum algorithms/computation course supplement based on Qiskit
Code for running IBM Q VQE algorithm on quantum Hamiltonians
I simulated the Larmor precession quantum phenomenon using a quantum computer Qasm simulator.
The first task for the QC-mentorship program
Tutorials for Quantum Algorithms
Tutorials for Quantum Algorithms with Qiskit implementations.
An open-source Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.