Skip to content

DemeterFS/Xanadu-Quantum-Codebook

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

25 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Xanadu Quantum Codebook

The Xanadu Quantum Codebook is an experimental, exercise-based introduction to quantum computing using PennyLane. This repository contains all the source text and coding challenge templates in the Codebook; the Codebook itself is available at codebook.xanadu.ai.

Providing feedback and getting help

The Codebook is currently in the beta stage of development. If you find an error in the Codebook, something is not working as expected, or have other technical feedback, please open an issue in this repository.

If you are stuck on a coding exercise, or have questions about the content and material, please post a question on the PennyLane discussion forum under the "Codebook" category.

Codebook team

The Xanadu Quantum Codebook was written, developed, and reviewed by members of the Xanadu team. The current contents are the work of the following people:

Catalina Albornoz, Guillermo Alonso, Mikhail Andrenkov, Priya Angara*, Ali Asadi, Álvaro Ballon, Sanchit Bapat, Isaac De Vlugt, Olivia Di Matteo, Paul Finlay, Alberto Fumagalli, Andrew Gardhouse, Natalie Girard, Ant Hayes, Josh Izaac, Rafal Janik, Timjan Kalajdzievski, Nathan Killoran, Jay Soni, David Wakeham**.

(Funding support for our student authors was provided by the *Quantum Algorithms Institute and the **Mitacs Accelerate program.)

If you would like to acknowledge the Codebook in your work, please use the following format:

C. Albornoz, G. Alonso, M. Andrenkov, P. Angara, A. Asadi, A. Ballon, S. Bapat, I. De Vlugt, O. Di Matteo, P. Finlay, A. Fumagalli, A. Gardhouse, N. Girard, A. Hayes, J. Izaac, T. Kalajdzievski, N. Killoran, J. Soni, D. Wakeham. (2021) Xanadu Quantum Codebook.

About

Learn quantum computing interactively with PennyLane

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%