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Awesome Quantum Machine Learning ⭐ 2,206

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Pennylane ⭐ 2,117

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

Strawberryfields ⭐ 731

Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.

JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/citations?user=3w6ej94A

Tensorcircuit ⭐ 230

Tensor network based quantum software framework for the NISQ era

Quantum Neural Networks ⭐ 156

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.

Qubiter ⭐ 120

Python tools for reading, writing, compiling, simulating quantum computer circuits. Includes numpy and tensorflow backends. “Quantum Space, the final frontier. These are the voyages of the starship Qubiter. Its five-year mission: to explore strange new worlds, to seek out new life and new civilizations, to boldly go where no man has gone before.”

The Quantum Machine Learning Toolbox (QMLT) is a Strawberry Fields application that simplifies the optimization of variational quantum circuits (also known as parametrized quantum circuits).

Quantum Learning ⭐ 77

This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".

Qhbm Library ⭐ 26

Quantum Hamiltonian-Based Models built on TensorFlow Quantum

Learning2learn ⭐ 6

This repository implements the architecture proposed by Verdon et al. in the paper Learning to learn with quantum neural networks via classical neural networks, using PennyLane and TensorFlow.

Data Science ⭐ 6

Data Science Roadmap (Python) Python → Data Science → Machine Learning → Deep Learning → NLP → Computer Vision → Quantum

Qtensorflow ⭐ 6

👾 𝗾𝘂𝗮𝗻𝘁𝘂𝗺 𝘁𝗲𝗻𝘀𝗼𝗿𝗳𝗹𝗼𝘄 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗶𝗻 𝗸𝟴𝘀

Quantum Machine Learning On Near Term Quantum Devices ⭐ 5

List of some personal QML Projects

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