Quantum Computing
Showing 29 of 29 projects
An open-source SDK for working with quantum computers at the level of circuits, operators, and primitives.
A Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits on quantum computers and simulators.
A collection of self-paced tutorials and programming exercises for learning quantum computing and Q#.
A collection of self-paced tutorials and programming exercises for learning Q# and quantum computing concepts.
A collection of sample applications demonstrating quantum programming concepts and algorithms using Microsoft's Quantum Development Kit.
A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
An open-source Python library for quantum computing, quantum machine learning, and quantum chemistry.
A curated list of awesome quantum computing learning and development resources.
A curated list of up-to-date learning and development resources for quantum computing.
A collection of Jupyter notebooks demonstrating how to use the Qiskit SDK for quantum computing.
An open-source Python toolbox for simulating the dynamics of closed and open quantum systems.
A high-performance Python graph library implemented in Rust for general-purpose graph algorithms.
An efficient, statically typed functional programming language that integrates directly into Common Lisp.
A Python library for quantum programming using Quil, enabling simulation and execution on real quantum processors.
Pythonic orchestration tool for AI/ML, HPC, and quantum computing workflows across heterogeneous compute environments.
A modern C++17 header-only quantum computing library for simulating arbitrary quantum processes.
A Python toolkit for quantum machine learning that bridges AI and quantum computing with quantum neural networks.
Q# libraries for quantum computing, including standard libraries, chemistry, and numerics modules for the Quantum Development Kit.
Q# libraries for quantum computing, including standard libraries, chemistry, and numerics modules for the Quantum Development Kit.
A high-level Python framework for formulating, optimizing, and executing variational quantum algorithms on simulators and real hardware.
A Python SDK for quantum computing that simplifies circuit creation, simulation, and algorithm implementation.
A Python library for GPU-accelerated and differentiable quantum systems simulation built with JAX.
An advanced quantum computer simulator written in Rust, capable of simulating up to 5-qubit registers for educational and algorithmic exploration.
A Common Lisp library for matrix algebra with pure Lisp and accelerated backends via BLAS/LAPACK.
Deprecated Microsoft Quantum Computing libraries for noncommercial research and academic use only.
A curated collection of Q# code samples, tutorials, libraries, and resources for quantum computing development.
A JavaScript library for quantum computing that enables building, compiling, and running quantum circuits via IBM Quantum Experience and simulators.
A curated collection of quantum computing resources in Portuguese, covering algorithms, hardware, programming, and applications.
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