Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
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Updated
Jun 11, 2024 - Python
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
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 🙌
Digital-analog quantum programming interface
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
scikit-qulacs is a library for quantum neural network. This library is based on qulacs and named after scikit-learn.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
The Swiss Army Knife of Applied Quantum Technology
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
A differentiable bridge between phase space and Fock space
AI_Research_Junction@Aditi_Khare - Research Papers Summaries Capturing Latest advancements in Generative AI, Quantum AI and Computer Vision
Project inspired by a book titled, "Artificial Intelligence," by Copeland. One of the World's first Quantum Neural Networks ever invented.
Variational Quantum Linear Solver without Barren Plateaus
Malware Detection with the EMBER Dataset
Unsupervised anomaly detection in the latent space of high energy physics events with quantum machine learning.
Quantum Transformers for High Energy Physics Analysis at the Large Hadron Collider
Group invariant QML and Representation theory for Geometric QML project.
This is a portion of code related to Joint Mitigation of Quantum Gate and Measurement Errors via the Z-mixed-state Expression of the Pauli Channel.
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