The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane

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

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

A differentiable bridge between phase space and Fock space

Digital-analog quantum programming interface

PyTorch-based state vector simulator

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

The Swiss Army Knife of Applied Quantum Technology

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

Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

Code for "Optimizing Quantum Variational Circuits with Deep Reinforcement Learning"

Quantum Transformers for High Energy Physics Analysis at the Large Hadron Collider

scikit-learn interface for quantum algorithms

AI_Research_Junction@Aditi_Khare - Research Papers Summaries Capturing Latest advancements in Generative AI, Quantum AI and Computer Vision

⚛️ 🚀 👽 A self-paced, game-based Quantum Computing learning program for students, researchers and enthusiasts. This program offers a general understanding of Quantum Computing, as well as some of its applications, such as Quantum Machine Learning and Quantum Optimization, and how to program real quantum computers.

Q-SupCon integrates quantum principles into supervised contrastive learning, enhancing feature learning with minimal labeled data for efficient image classification, especially in medical applications.

Final year project, exploring the field of quantum machine learning.

This is the repository for https://quantumalgorithms.org

Fermionic Machine Learning python package built on PennyLane

QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch