Statistics for topic quantum-computing
RepositoryStats tracks 595,858 Github repositories, of these 263 are tagged with the quantum-computing topic. The most common primary language for repositories using this topic is Python (112). Other languages include: Jupyter Notebook (34), C++ (29), Julia (18)
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Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
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.
Quantum many body simulations in the Pauli strings representation
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
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.
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
Quantum many body simulations in the Pauli strings representation
Companion code for Learn Quantum Computing with Python and Q# Book by Dr. Sarah Kaiser and Dr. Cassandra Granade 💖
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
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.
A curated list of awesome quantum computing learning and developing resources.
Sample-based Quantum Diagonalization: Classically postprocess noisy quantum samples to yield more accurate eigenvalue estimations.
Quantum-classical hybrid convolutional neural network for classical image classification
Quantum many body simulations in the Pauli strings representation
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
Must read research papers and links on quantum compiler and system
A Quantum Computing and Machine Learning Model that accelerates the Drug Research and Development process
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
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.
A curated list of awesome quantum computing learning and developing resources.
An MLIR based compiler dynamic circuit compiler for real-time control systems supporting OpenQASM 3
Qiskit provider to execute quantum circuits on Alice & Bob cat qubits
A convenience meta-package for quantum optimal control using the Pade Integrator COllocation (PICO) method