quantumric

quantumric's Stars

• sara-nl/QuantumComputing

  Tools and tutorials for quantum computing

  Language:Jupyter Notebook33

• aritoka/QCGPIlotJob-netsquid

  Language:Python1

• SURFQuantum/yotse

  Your Optimization Tool for Scientific Experiments

  Language:Python33

• AshritVerma/netsquid-simulation-main

  Language:Jupyter Notebook1

• arnavdas88/NetSqiud-NetSim

  An abstraction layer SDN over NetSquid to build, test and share quantum network components and topologies in a simpler way.

  Language:Python31

• 5l1v3r1/learning-quantum-computing-course

  ⚛️ 💥 ⚙️ A project based in Quantum Physics/Mechanics and Quantum Computing. This projects contains Tutorials, Examples, Exercises, Papers, Posters and Illustrations covering several concepts of Quantum Physics/Mechanics and Quantum Computing, such as Quantum Information Science, Quantum Algorithms, Quantum Error Correction, Quantum Internet/Networks, Quantum Cryptography, Quantum Artificial Intelligence, Quantum Machine Learning and Quantum Game Theory. It works as a support for the Online Web Course of Learning Quantum Computing available in the following GitHub Page: https://rubenandrebarreiro.github.io/learning-quantum-computing. This project it's built using OpenQASM Framework (IBM's Open Quantum Assembly Language), Qiskit Framework (IBM Q Experience), Cirq Framework (Google AI Quantum), Q# Framework (Microsoft Quantum Development Kit - QDK), PyQuil Framework (Rigetti's Forest SDK), PennyLane Framework (Xanadu Quantum Technologies), Project Q Framework (ETHZ's Open-Source Software Framework for Quantum Computing) and Quantum Inspire (TU Delft's/QuTech's Quantum Computing Platform). The Tutorials, Examples and Exercises are mostly built in Python and Jupyter Notebooks. The Papers are built in TeX (LaTeX). The Posters and Illustrations are built in Adobe Photoshop, Adobe Illustrator and Adobe Photoshop Lightroom. Some Tutorials, Examples and Exercises use other important Packages, Libraries and Frameworks for Data Science, Cybersecurity, Cryptography, Quantum Physics/Mechanics and Quantum Computing, such as Bokeh, Cython, Dask, Jython, Matplotlib, Numba, NumPy, PyTorch, SciKit Learn, SciPy, SymPy, TensorFlow, Theano, QuTip, or even, OpenSSL and Python's Cryptography Library. Some Examples and Tutorials also use the NetSquid and SimulaQron Simulators Frameworks (TU Delft's/QuTech's Quantum Internet's/Network Simulators).

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• QuTech-Delft/squidasm

  Language:Python1611

• ecmwf/climetlab

  Python package for easy access to weather and climate data

  Language:Python37158

• QuTech-Delft/netqasm

  Language:Python1812

• pasqal-io/CINECAxIFAB-PQCS

  Pasqal's tutorials for the CINECA/IFAB Practical Quantum Computing School 2021.

  Language:Jupyter Notebook51

• pasqal-io/Pulser

  Library for pulse-level/analog control of neutral atom devices. Emulator with QuTiP.

  Language:Python16759

• pasqal-io/PQCS-CINECA-2022

  Language:Jupyter Notebook3

• rust-lang/mdBook

  Create book from markdown files. Like Gitbook but implemented in Rust

  Language:Rust17.7k1.6k

• microsoft/tensorflow-directml-plugin

  DirectML PluggableDevice plugin for TensorFlow 2

  Language:C++18325

• ecmwf-projects/mooc-machine-learning-weather-climate

  Language:Jupyter Notebook183163

• JuliaDataScience/JuliaDataScience

  Book on Julia for Data Science

  Language:Julia47290

• vgoliber/cqm-bqm-exercises

  A student exercise.

  Language:Python2

• dwave-training/knapsack

  Basic knapsack code from webinars and events

  Language:Python3