Statistics for topic quantum
RepositoryStats tracks 518,325 Github repositories, of these 113 are tagged with the quantum topic. The most common primary language for repositories using this topic is Python (44). Other languages include: C++ (13), Jupyter Notebook (11)
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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.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
A python library for quantum information and many-body calculations including tensor networks.
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 computer...
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
MQT DDSIM - A quantum circuit simulator based on decision diagrams written in C++
A python library for quantum information and many-body calculations including tensor networks.
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 computer...
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
A curated list of awesome quantum computing learning and developing resources.
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 python library for quantum information and many-body calculations including tensor networks.
quantum computing book list - A book list for those who want to self-study quantum computing
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
A python library for quantum information and many-body calculations including tensor networks.
MQT DDSIM - A quantum circuit simulator based on decision diagrams written in C++
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
A curated list of awesome quantum computing learning and developing resources.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
ASH is a Python-based computational chemistry and QM/MM environment, primarily for molecular calculations in the gas phase, explicit solution, crystal or protein environment.
A program implementing the Hartree–Fock (also post-HF: MP2, CCSD(T), CIS and TDHF/RPA)/self-consistent field method (also DIIS) with Gaussian orbitals
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
A C++-based growing software system for synthesizing, optimizing, and verifying quantum circuits
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
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.
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 computer...
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
A curated list of awesome quantum computing learning and developing resources.
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
From Qiskit Metal to pattern generation to real nanofabrication demo. Here, quantum devices on a chip are patterned via direct-write electron-beam lithography in a nanofabrication facility. Formed & w...
An efficient Python-based framework for implementing qubit subspace methods, reducing the resource requirements for near-term quantum simulations.