https://github.com/glassnotes/intro-qc-triumf

Materials and notebooks for my first lecture series at TRIUMF, "An introduction to quantum computing and quantum annealing".
https://github.com/glassnotes/intro-qc-triumf

Last synced: about 2 months ago
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Materials and notebooks for my first lecture series at TRIUMF, "An introduction to quantum computing and quantum annealing".

• Host: GitHub
• URL: https://github.com/glassnotes/intro-qc-triumf
• Owner: glassnotes
• License: mit
• Created: 2019-05-08T19:27:08.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-09-29T21:00:10.000Z (over 3 years ago)
• Last Synced: 2023-10-20T20:01:20.328Z (about 1 year ago)
• Language: Jupyter Notebook
• Size: 55.6 MB
• Stars: 27
• Watchers: 4
• Forks: 13
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Intro-QC-TRIUMF

Lecture slides and notebooks for my first lecture series at TRIUMF, "An introduction to quantum computing and quantum annealing".

To run the notebooks, you'll need:

 - Python 3 (Anaconda is best; if not, you'll need numpy and networkx)

 - IBM's [Qiskit](https://qiskit.org/terra)

 - D-Wave's [Ocean SDK](https://docs.ocean.dwavesys.com/en/latest/overview/install.html)

 

Feel free to re-use these materials however you like, and let me know if you find any errors!