quantum-machine-learning topic

scikit-qulacs is a library for quantum neural network. This library is based on qulacs and named after scikit-learn.

Qulacs-Osaka

Generating music using quantum machine learning models. (QuGAN and QLSTM)

theerfan

Learn Quantum Machine Learning using pennylane framework

MonitSharma

Codes for efficiently implementing quantum neural network classifiers

LWKJJONAK

A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum algorithms, tensor networks, and classical machine learning appl...

ericardomuten

Quantum Hamiltonian-Based Models built on TensorFlow Quantum

google

Exploring learnability and optimal hyperparameters of various quantum generative adversarial networks and quantum neural networks using Pennylane.

Sinestro38

Implement variational quantum classifier on heart attack data available on kaggle with the aim to understand different variational models and different feature maps

rodneyosodo

repository to research & share the quantum information articles

arxivtimesquantum

The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌

Classiq