Trending repositories for topic quantum-algorithms
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
An open-source Python framework for hybrid quantum-classical machine learning.
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
An open-source Python framework for hybrid quantum-classical machine learning.
A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
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.
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
Curated list of open-source quantum software projects.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Companion code for Learn Quantum Computing with Python and Q# Book by Dr. Sarah Kaiser and Dr. Cassandra Granade 💖
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
⚛ 10 week Practical Course on Quantum Information Science and Quantum Computing - with Qiskit and IBMQX
QPanda 2 is an open source quantum computing framework developed by OriginQC that can be used to build, run, and optimize quantum algorithms.
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.
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
⚛ 10 week Practical Course on Quantum Information Science and Quantum Computing - with Qiskit and IBMQX
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
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
An open-source Python framework for hybrid quantum-classical machine learning.
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
Curated list of open-source quantum software projects.
QPanda 2 is an open source quantum computing framework developed by OriginQC that can be used to build, run, and optimize quantum algorithms.
A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Curated list of open-source quantum software projects.
An open-source Python framework for hybrid quantum-classical machine learning.
The electronic structure package for quantum computers.
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
Quantum-classical hybrid convolutional neural network for classical image classification
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
Tensor network based quantum software framework for the NISQ era
A Well Maintained Repository On Quantum Computing Resources [Code+Theory] Updated Regularly During My Time At IBM, Qubit x Qubit And The Coding School's Introduction To Quantum Computing Course '21
QPanda 2 is an open source quantum computing framework developed by OriginQC that can be used to build, run, and optimize quantum algorithms.
A collection of labs and homework assignments related to physics, calculus, and linear algebra. The labs offer hands-on experiments and demonstrations related to quantum physics, electrostatics and el...
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
This repository contains the best resources for learning practical quantum computing. This repository will be updated frequently.
Quantum-classical hybrid convolutional neural network for classical image classification
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
A collection of labs and homework assignments related to physics, calculus, and linear algebra. The labs offer hands-on experiments and demonstrations related to quantum physics, electrostatics and el...
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
Companion code for Learn Quantum Computing with Python and Q# Book by Dr. Sarah Kaiser and Dr. Cassandra Granade 💖
Computer algebra tools for symbolic manipulations in quantum mechanics and quantum information
This repository contains the best resources for learning practical quantum computing. This repository will be updated frequently.
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
Curated list of open-source quantum software projects.
Python CPU/GPU implementation of the Simulated Bifurcation (SB) algorithm to solve quadratic optimization problems (QUBO, Ising, TSP, optimal asset allocations for a portfolio, etc.).
A python package for exploring end-to-end chemistry workflows on quantum computers and simulators.
A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
An open-source Python framework for hybrid quantum-classical machine learning.
Tensor network based quantum software framework for the NISQ era
A Well Maintained Repository On Quantum Computing Resources [Code+Theory] Updated Regularly During My Time At IBM, Qubit x Qubit And The Coding School's Introduction To Quantum Computing Course '21
Qrisp - a framework for high-level programming of Quantum computers
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
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...
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
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
Curated list of open-source quantum software projects.
An open-source Python framework for hybrid quantum-classical machine learning.
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
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.
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
Tensor network based quantum software framework for the NISQ era
A Well Maintained Repository On Quantum Computing Resources [Code+Theory] Updated Regularly During My Time At IBM, Qubit x Qubit And The Coding School's Introduction To Quantum Computing Course '21
Quantum-classical hybrid convolutional neural network for classical image classification
Repository containing monthly challenges in the field of quantum computing.
QPanda 2 is an open source quantum computing framework developed by OriginQC that can be used to build, run, and optimize quantum algorithms.
Qrisp - a framework for high-level programming of Quantum computers
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
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
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
Qrisp - a framework for high-level programming of Quantum computers
Computer algebra tools for symbolic manipulations in quantum mechanics and quantum information
A collection of labs and homework assignments related to physics, calculus, and linear algebra. The labs offer hands-on experiments and demonstrations related to quantum physics, electrostatics and el...
A python package for exploring end-to-end chemistry workflows on quantum computers and simulators.
Notebooks demonstrating how to use qBraid Lab to streamline quantum workflows, connect to quantum hardware, and leverage GPU-enabled scalable compute for hybrid algorithms.
API library providing common operations for adding quantum behaviors to games.
Python CPU/GPU implementation of the Simulated Bifurcation (SB) algorithm to solve quadratic optimization problems (QUBO, Ising, TSP, optimal asset allocations for a portfolio, etc.).
quantum computing book list - A book list for those who want to self-study quantum computing
Tensor network based quantum software framework for the NISQ era
