Learning quantum programming techniques via Qutip tutorials and additional resources
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Updated
Jul 20, 2017 - Python
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.
Learning quantum programming techniques via Qutip tutorials and additional resources
Shor's 9-qubit algorithm for correcting quantum errors using Qiskit package.
Config files for my GitHub profile.
Python implementation of Quantum Algorithms for Deep Convolutional Neural Networks (Kerenidis, Landman and Prakash, 2019)
In this repository I have codes of tutorials which I made on my youtube channel related to qiskit
A qubit mapping algorithm
In This Repository i will dive into my first steps with Quantum Computing.
Code for the article "Quantum Machine Learning Tensor Network States"
An implementation of the Buhrmann quantum algorithm for solving the Mastermind game.
QVoice: Quantum Variational Optimization with In-Constraint Energy
Quantum algorithm for the Vlasov equation
Implementation of proof of concept quantum enhanced reinforced learning algorithm, able to find the sequence of quantum gates needed to approximate a given function.
Created by Richard Feynman and Yuri Manin