Trending repositories for topic quantum
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
The electronic structure package for quantum computers.
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...
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
A python library for quantum information and many-body calculations including tensor networks.
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.
Tensor network based quantum software framework for the NISQ era
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
Library for the numerical simulation of closed as well as open quantum systems.
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
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
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
A python library for quantum information and many-body calculations including tensor networks.
Tensor network based quantum software framework for the NISQ era
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...
The electronic structure package for quantum computers.
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Library for the numerical simulation of closed as well as open quantum systems.
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
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.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
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
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.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
A curated list of awesome quantum computing learning and developing resources.
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...
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
A python library for quantum information and many-body calculations including tensor networks.
The electronic structure package for quantum computers.
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
Library for the numerical simulation of closed as well as open quantum systems.
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
A Python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
A python library for quantum information and many-body calculations including tensor networks.
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
Library for the numerical simulation of closed as well as open quantum systems.
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.
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
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...
Tensor network based quantum software framework for the NISQ era
The electronic structure package for quantum computers.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
A curated list of awesome quantum computing learning and developing resources.
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.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
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...
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
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
A Python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
The electronic structure package for quantum computers.
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
⚛️ A module for solving and visualizing the Schrödinger equation.
A python library for quantum information and many-body calculations including tensor networks.
Library for the numerical simulation of closed as well as open quantum systems.
Tensor network based quantum software framework for the NISQ era
A collection of free educational materials, most of which are interactive or 3D animated. (See ReadMe below). You may find inspiration for measurement techniques here. They may improve your comprehens...
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
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.
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. Written & ...
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
Simulator of QUantum Network Communication (SeQUeNCe) is an open-source tool that allows modeling of quantum networks including photonic network components, control protocols, and applications.
Everything you need for quantum hardware engineering in the field. Curated by Onri Jay Benally, an Indigenous American quantum hardware engineer & doctoral researcher.
👾 my onchain research, foundry boilerplates, quant bots, algorithms - rust edition
API library providing common operations for adding quantum behaviors to games.
Notebooks demonstrating how to use qBraid Lab to streamline quantum workflows, connect to quantum hardware, and leverage GPU-enabled scalable compute for hybrid algorithms.
Samples related to "Quantum Computing for Java Developers"
MQT DDSIM - A quantum circuit simulator based on decision diagrams written in C++
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
MPQP is a python library to create quantum circuits and run them on a multitude of backends from various providers.
A collection of free educational materials, most of which are interactive or 3D animated. (See ReadMe below). You may find inspiration for measurement techniques here. They may improve your comprehens...
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.
A Python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
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
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...
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
⚛️ A module for solving and visualizing the Schrödinger equation.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
A C++-based growing software system for synthesizing, optimizing, and verifying quantum circuits
A python library for quantum information and many-body calculations including tensor networks.
The electronic structure package for quantum computers.
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
Companion site for the textbook Quantum Computing: An Applied Approach
Qiskit provider to execute quantum circuits on Alice & Bob cat qubits
Numerical evaluation of secret key rates for QKD protocols
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
A demo set of programming assignments developed using Q# and Azure Quantum Development Kit
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
A Photonic Quantum Computer Simulator written in Python.
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
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. Written & ...
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.
Everything you need for quantum hardware engineering in the field. Curated by Onri Jay Benally, an Indigenous American quantum hardware engineer & doctoral researcher.
