Trending repositories for topic quantum-computing
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Curated list of open-source quantum software projects.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
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.
An open-source Python framework for hybrid quantum-classical machine learning.
Tutorials and programming exercises for learning Q# and quantum computing
Comprehensive, GPU accelerated framework for developing universal virtual quantum processors
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
A curated list of awesome quantum computing learning and developing resources.
Powerful, automated analysis and design of quantum microwave chips & devices [Energy-Participation Ratio and more]
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
Library for pulse-level/analog control of neutral atom devices. Emulator with QuTiP.
Python library for quantum circuit rewriting and optimisation using the ZX-calculus
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
Companion site for the textbook Quantum Computing: An Applied Approach
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.
Comprehensive, GPU accelerated framework for developing universal virtual quantum processors
Powerful, automated analysis and design of quantum microwave chips & devices [Energy-Participation Ratio and more]
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
Library for pulse-level/analog control of neutral atom devices. Emulator with QuTiP.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Curated list of open-source quantum software projects.
Python library for quantum circuit rewriting and optimisation using the ZX-calculus
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
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.
An open-source Python framework for hybrid quantum-classical machine learning.
Companion site for the textbook Quantum Computing: An Applied Approach
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...
Tutorials and programming exercises for learning Q# and quantum computing
The electronic structure package for quantum computers.
A collection of Jupyter notebooks showing how to use the Qiskit SDK
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
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 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...
Curated list of open-source quantum software projects.
An open-source Python framework for hybrid quantum-classical machine learning.
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
Tutorials and programming exercises for learning Q# and quantum computing
Comprehensive, GPU accelerated framework for developing universal virtual quantum processors
Python library for quantum circuit rewriting and optimisation using the ZX-calculus
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 Python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
Sample-based Quantum Diagonalization: Classically postprocess noisy quantum samples to yield more accurate eigenvalue estimations.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Must read research papers and links on quantum compiler and system
Comprehensive, GPU accelerated framework for developing universal virtual quantum processors
A python package for exploring end-to-end chemistry workflows on quantum computers and simulators.
Clifford circuits, graph states, and other quantum Stabilizer formalism tools.
The RasQberry project: Exploring Quantum Computing and Qiskit with a Raspberry Pi and a 3D Printer
KLayout Python library for integrated quantum circuit design.
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
Powerful, automated analysis and design of quantum microwave chips & devices [Energy-Participation Ratio and more]
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
Library for pulse-level/analog control of neutral atom devices. Emulator with QuTiP.
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...
Python library for quantum circuit rewriting and optimisation using the ZX-calculus
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Curated list of open-source quantum software projects.
Source code for the TKET quantum compiler, Python bindings and utilities
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 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...
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.
Curated list of open-source quantum software projects.
The electronic structure package for quantum computers.
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
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.
Tutorials and programming exercises for learning Q# and quantum computing
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
Sample-based Quantum Diagonalization: Classically postprocess noisy quantum samples to yield more accurate eigenvalue estimations.
Must read research papers and links on quantum compiler and system
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
A High Performance Quantum State Simulator implemented in pure Rust
This package is a flexible python implementation of the Quantum Approximate Optimization Algorithm /Quantum Alternating Operator ansatz (QAOA) aimed at researchers to readily test the performance of a...
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
FlamingPy is a cross-platform Python library with a variety of backends for efficient simulations of error correction in fault-tolerant quantum computers.
PyQIR is a set of APIs for generating, parsing, and evaluating Quantum Intermediate Representation (QIR).
Soltutions for Nielsen and Chuangs' "Quantum Computation and Quantum Information", currently for most of chapters 4-6 and 8-12
Library for pulse-level/analog control of neutral atom devices. Emulator with QuTiP.
A python package for exploring end-to-end chemistry workflows on quantum computers and simulators.
Lattice surgery quantum error correction compiler
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
Sample-based Quantum Diagonalization: Classically postprocess noisy quantum samples to yield more accurate eigenvalue estimations.
QuAIRKit is a Python research framework for quantum computing, quantum information, and quantum machine learning algorithm development. It focuses on flexible design, real-time simulation and rapid ve...
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.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
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...
Curated list of open-source quantum software projects.
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
A list of resources in different fields of Computer Science
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Tutorials and programming exercises for learning Q# and quantum computing
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
An open-source Python framework for hybrid quantum-classical machine learning.
A python library for quantum information and many-body calculations including tensor networks.
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 High Performance Quantum State Simulator implemented in pure Rust
A convenience meta-package for quantum optimal control using the Pade Integrator COllocation (PICO) method
Soltutions for Nielsen and Chuangs' "Quantum Computation and Quantum Information", currently for most of chapters 4-6 and 8-12
A demo set of programming assignments developed using Q# and Azure Quantum Development Kit
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
Quantum-classical hybrid convolutional neural network for classical image classification
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
A full stack simulator of quantum hardware, from the low-level analog physics to high-level network dynamics. Includes discrete event simulator, symbolic representation for quantum object, and works w...
A Photonic Quantum Computer Simulator written in Python.
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.