There are 2 repositories under pyquil topic.
Quantum Circuit Simulator implemented in JavaScript
Slide decks and Jupyter notebooks for training on Rigetti's quantum software stack at the Creative Destruction Lab 2018.
Implementation of an algorithm for training Quantum Boltzmann Machine neural networks using variational methods. Based on https://arxiv.org/abs/1712.05304 and their sample code.
⚛️ 💥 ⚙️ 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.
Implementation of stabilizer codes in pyQuil
Implementations of a few programs which can run on simulators as well as actual quantum hardware written using libraries provided by major quantum software stack providers
Solutions for the Jupyter notebook exercises for the training on Rigetti's quantum software stack at the Creative Destruction Lab 2018.
Implementing a variational algorithm: QCL using pyQuil. Based on: https://arxiv.org/abs/1803.00745 and http://dkopczyk.quantee.co.uk/qcl/
Exercises in architecture and programming of quantum computers with cirq , qiskit, tket , projectq and pyquil forest
Implementing a distance-based classifier with a quantum interference circuit. Based on https://arxiv.org/abs/1703.10793
Variational Quantum Factoring
Comparing the efficiency of Classical Evolutionary Algorithms vs. Quantum Evolutionary Algorithms
A collection of quantum algorithms written in two popular quantum programming languages, PyQuil and Qiskit.
Demonstrates the implementation of various logical gates using quantum circuits. The code utilizes three popular quantum computing libraries: Cirq, PyQuil, and ProjectQ.
Docker image for https://github.com/rigetticomputing/pyquil
Notebooks exploring various features of the Rigetti Forest & Grove using pyQuil