Config files for my GitHub profile.
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Updated
Jun 8, 2024
Quantum computing is a field of computing that uses quantum phenomena such as superposition and entanglement to perform operations on data. It is a rapidly growing field with potential applications in fields such as cryptography, chemistry, and optimization. Quantum computers can solve certain problems much faster than classical computers. Various programming languages such as Q#, Python and C++ can be used to write quantum algorithms to be run on quantum computers. The development of quantum computers is an active area of research and engineering.
Config files for my GitHub profile.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
🔮⚡️Vein is an open source high-level strictly-typed programming language with a standalone OS, arm and quantum computing support.
Data of my robots from my website and my Watchy.
My research repo , contains all my drafts 👨🔬.
Python script and Jupyter notebook implementations of Grover's Algorithm aka Quantum Search Algorithm for n qubits and m targets.
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
Our projects analyses the readyness of Mauritius' against Quantum Computing.
Comprehensive, GPU accelerated framework for developing universal virtual quantum processors
lambdaQ - a functional quantum programming language.
QuTiP: Quantum Toolbox in Python
Embedded, Web, Mobile, DevOps, Blockchain, Security, AI, Quantum etc
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
A JIT compiler for hybrid quantum programs in PennyLane
A programming model for leveraging quantum and classical resources
A Python SDK for interacting with quantum devices on Amazon Braket
Quantum Optimal Control with Direct Collocation
Created by Richard Feynman and Yuri Manin