ydeh22,Ydeh22,github

python-reinforcement-learning

Solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytket

Python module for interfacing with CQC's core TKET library

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch-rl

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

pytorch_sac

PyTorch implementation of Soft Actor-Critic (SAC)

pyzx

Python library for quantum circuit rewriting and optimisation using the ZX-calculus

qalgodemos

Demonstration notebooks of various Quantum Algorithms

Qbsolv,a decomposing solver, finds a minimum value of a large quadratic unconstrained binary optimization (QUBO) problem by splitting it into pieces solved either via a D-Wave system or a classical tabu solver. (Note that qbsolv by default uses its internal classical solver. Access to a D-Wave system must be arranged separately.)

qcnn-hep

A Google Summer of Code 2021 Project Repository. This project aims to demonstrate quantum machine learning's potential, specifically Quantum Convolutional Neural Network (QCNN), in HEP events classification from particle image data. The code used in the research is wrapped as an open-source package to ease future research in this field.

qde

Solves systems of ordinary first-order nonlinear differential equations by reformulating them in terms of Quadratic Unconstrained Binary Optimization (QUBO) problems, which allows to obtain solution on quantum annealers. Contains example application to molecular dynamics.

qetlab

A MATLAB toolbox for quantum entanglement.

qflow-suite

Machine learning code for quantum dots

qft-final-project

phi^4 on the lattice

qgss-2021

Qiskit Global Summer School 2021 hosted by IBM Quantum, focused on Quantum Machine Learning.

qhbm-library-public

Quantum Hamiltonian-Based Models built on TensorFlow Quantum

qibo

A framework for quantum computing with hardware acceleration.

qiskit-community-tutorials

A collection of Jupyter notebooks developed by the community showing how to use Qiskit

qiskit-terra

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and algorithms.

qiskit-textbook

A university quantum algorithms/computation course supplement based on Qiskit

qiskit-tutorial

A collection of Jupyter notebooks using Qiskit

qkit

Qkit framework

qm-tools

MolSSI Quantum Mechanics Tools workshop

qml-mooc

Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019

qml-rg

Quantum Machine Learning Reading Group @ ICFO

qmlabs

Ipython notebooks for our QM class based on Mark Beck's book "Quantum Mechanics: Theory and Experiment"

qmps_syc

This repository holds the code to generate results for the work "Simulating groundstate and dynamical quantum phase transitions on a superconducting quantum computer"

qmpython

Quantum Mechanics and Schrodinger Equation Solvers in Python.

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