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Companion site for the textbook Quantum Computing: An Applied Approach
Slide decks and Jupyter notebooks for training on Rigetti's quantum software stack at the Creative Destruction Lab 2018.
Quantum Computing Guide
⚛️ 💥 ⚙️ A project based in Quantum Computing. This project was built using IBM Q Experience/QisKit (Jupyter Notebook/Python Environment Framework from IBM), PyQuil (Python Environment Framework from Rigetti Computing/Rigetti Forest SDK), ProjectQ (Python Environment Open-Source Framework from ETH Zurich), Q# (Q Sharp Programming Language from Microsoft Quantum SDK) and TeX (LaTeX). The project will present some kind of Introductory Course of Quantum Physics/Mechanics and Quantum Computing, and also, some basic tutorials, exercises and papers about it.
Solutions for the Jupyter notebook exercises for the training on Rigetti's quantum software stack at the Creative Destruction Lab 2018.
Quantum mechanical 8-sided dice