Quantum Algorithms
Showing 26 of 26 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 Q# and quantum computing concepts.
A collection of self-paced tutorials and programming exercises for learning quantum computing and Q#.
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.
An open-source 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.
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.
A Python library for quantum programming using Quil, enabling simulation and execution on real quantum processors.
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.
An advanced quantum computer simulator written in Rust, capable of simulating up to 5-qubit registers for educational and algorithmic exploration.
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 hands-on tutorial for implementing a quantum perceptron using Microsoft's Quantum Development Kit and Q#.
A Python library for quantum artificial intelligence on near-term quantum computers.
Workshop materials for learning quantum computing by implementing the Deutsch-Jozsa algorithm in Q#.
A prototype quantum probabilistic programming language that extends QUIL with functional programming abstractions and classical control structures.
A tutorial on implementing circuit-centric quantum classifiers using Microsoft's Quantum Development Kit and Q#.
A Q# SDK demonstration showing counter-intuitive quantum behavior using the Hadamard gate.
A Visual Studio solution with four Q# projects demonstrating quantum computing algorithms like Deutsch's algorithm and quantum teleportation.
A collection of quantum computing coding exercises and tutorials using Q# for learning quantum programming.
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