Microsoft Quantum Development Kit Samples
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Updated
Feb 25, 2023 - Jupyter Notebook
Microsoft Quantum Development Kit Samples
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and algorithms.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
A curated list of awesome quantum computing learning and developing resources.
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
QuTiP: Quantum Toolbox in Python
QPanda 2 is an open source quantum computing framework developed by OriginQC that can be used to build, run, and optimize quantum algorithms.
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
Companion site for the textbook Quantum Computing: An Applied Approach
Q# compiler, command line tool, and Q# language server
A Benchmark of Text Classification in PyTorch
Q# libraries for the Quantum Development Kit
Library for the numerical simulation of closed as well as open quantum systems.
A PyTorch-based framework for Quantum Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
Machine learning algorithms for many-body quantum systems
High Performance Tools for Quantum Computing
A modern C++ quantum computing library
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