QuantumKatas/tutorials/RandomNumberGeneration
Scott Carda b856585f32
Update to QDK version 0.27.258160 (#876)
2023-03-01 17:11:58 -08:00
..
README.md Update format for Binder links (#656) 2021-09-10 17:19:16 -07:00
RandomNumberGenerationTutorial.csproj Update to QDK version 0.27.258160 (#876) 2023-03-01 17:11:58 -08:00
RandomNumberGenerationTutorial.ipynb [RandomNumberGeneration] Add workbook (#724) 2022-01-14 19:03:17 -08:00
RandomNumberGenerationTutorial.sln Replace project references with package references (#469) 2020-08-27 14:41:09 -07:00
ReferenceImplementation.qs [RandomNumberGeneration] Optimize task 5 solution (#850) 2022-10-31 10:09:39 -07:00
Tasks.qs [RandomNumberGeneration] Refactor tests (#602) 2021-04-27 18:32:24 -07:00
Tests.qs Remove parenthesis around the condition in the if block (p3) (#862) 2022-12-18 17:59:56 -08:00
Workbook_RandomNumberGenerationTutorial.ipynb [RandomNumberGeneration] Optimize task 5 solution (#850) 2022-10-31 10:09:39 -07:00

README.md

Welcome!

This folder contains a Notebook tutorial on quantum random number generation - an application of quantum computing that requires few qubits and offers true random numbers generated using the principles of quantum mechanics.

You can run the tutorial online here. Alternatively, you can install Jupyter and Q# on your machine, as described here, and run the tutorial locally by navigating to this folder and starting the notebook from command line using the following command:

jupyter notebook RandomNumberGenerationTutorial.ipynb

The Q# project in this folder contains the back-end of the tutorial and is not designed for direct use.