There are 77 repositories under quantum-algorithms topic.
Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
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.
Python package for compiling and analyzing quantum algorithms to simulate electronic structures.
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
QPanda 2 is an open source quantum computing framework developed by OriginQC that can be used to build, run, and optimize quantum algorithms.
Extensible, Efficient Quantum Algorithm Design for Humans.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
Fast C++ and Python library for state-vector simulation of quantum circuits.
A fast stabilizer circuit library.
Repository containing monthly challenges in the field of quantum computing.
Quantum Computer Library for Everyone
A group for computer scientists and physicists with aspirations of becoming quantum scientists. Quantum computing, jobs, books and graduate school are amongst the topics covered.
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
User manual and example notebooks for the pytket quantum computing toolkit
Tensor network based quantum software framework for the NISQ era
Python modules for quantum computing applications and experiments using Cirq. Research using Cirq!
Quantum circuits for simulations of quantum chemistry and materials.
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
Tutorials for Quantum Algorithms with Qiskit implementations.
Курс по квантовому машинному обучению
My personal quantum paper library
Compilation, analysis and optimization framework for the Scaffold quantum programming language.
Qrisp - The next generation of quantum algorithm development
Smart Tree: not just a tree, a philosophy. A context-aware, AI-crafted replacement for 20+ tools with MEM8 quantum compression, semantic search, AST-smart editing, and partnership memory. Crafted with care by human + AI—accept no knock-offs.
⚛ 10 week Practical Course on Quantum Information Science and Quantum Computing - with Qiskit and IBMQX
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.).
Multi-backend SDK for quantum optimisation
quantum computing book list - A book list for those who want to self-study quantum computing
A python package for exploring end-to-end chemistry workflows on quantum computers and simulators.