Trending repositories for topic quantum
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.
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
A curated list of awesome quantum computing learning and developing resources.
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
⚛️ A module for solving and visualizing the Schrödinger equation.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
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.
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
⚛️ A module for solving and visualizing the Schrödinger equation.
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
A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
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 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.
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.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Companion site for the textbook Quantum Computing: An Applied Approach
⚛️ A module for solving and visualizing the Schrödinger equation.
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
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
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.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Companion site for the textbook Quantum Computing: An Applied Approach
⚛️ A module for solving and visualizing the Schrödinger equation.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
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
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.
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
⚛️ A module for solving and visualizing the Schrödinger equation.
An open-source Python framework for hybrid quantum-classical machine learning.
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...
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
The electronic structure package for quantum computers.
Companion site for the textbook Quantum Computing: An Applied Approach
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
A demo set of programming assignments developed using Q# and Azure Quantum Development Kit
Companion code for Learn Quantum Computing with Python and Q# Book by Dr. Sarah Kaiser and Dr. Cassandra Granade 💖
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
⚛️ A module for solving and visualizing the Schrödinger equation.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
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 & ...
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
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
⚛️ A module for solving and visualizing the Schrödinger equation.
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...
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
An open-source Python framework for hybrid quantum-classical machine learning.
A python library for quantum information and many-body calculations including tensor networks.
The electronic structure package for quantum computers.
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
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
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
A demo set of programming assignments developed using Q# and Azure Quantum Development Kit
A Photonic Quantum Computer Simulator written in Python.
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
iQuantum - A Toolkit for Modelling and Simulation of Quantum Computing Environments
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.
