quantum
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.
Here are 332 public repositories matching this topic...
A wrapper class being developed to streamline the use of the Turbomole software package on in supercomputing environments
-
Updated
May 16, 2015 - Python
A Python module built for rapid computational screening of catalysts on rigid structures.
-
Updated
Jun 14, 2017 - Python
Learning quantum programming techniques via Qutip tutorials and additional resources
-
Updated
Jul 20, 2017 - Python
-
Updated
Jan 29, 2018 - Python
Library for cryptographic primitives
-
Updated
Apr 19, 2018 - Python
🔮 Monitoring the load of IBM Q processors.
-
Updated
May 12, 2018 - Python
-
Updated
Aug 2, 2018 - Python
Code for measurements and experiments within Microsoft collaboration.
-
Updated
Aug 30, 2018 - Python
Solve the Schrodinger equation for a variety of 1D and 2D potentials.
-
Updated
Sep 8, 2018 - Python
🕹 DIY joysticks made from Raspberry Pi using different sensors, etc.
-
Updated
Nov 14, 2018 - Python
Quantum Tensor Networks and Matrix Product States implemented in Python.
-
Updated
Nov 20, 2018 - Python
🔮 Monitoring the load of IBM Q processors
-
Updated
Nov 30, 2018 - Python
A version of Grover's Algorithm for basic Quantum Computing Example with GUI and Hashing
-
Updated
Dec 31, 2018 - Python
Created by Richard Feynman and Yuri Manin
- Followers
- 293 followers
- Organization
- qsharp-community
- Wikipedia
- Wikipedia