https://github.com/qbraid/ieee_qce23_qbraid_tutorial

Tutorial prepared for the IEEE QCE23 conference.
https://github.com/qbraid/ieee_qce23_qbraid_tutorial

Last synced: 11 months ago
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Tutorial prepared for the IEEE QCE23 conference.

• Host: GitHub
• URL: https://github.com/qbraid/ieee_qce23_qbraid_tutorial
• Owner: qBraid
• Created: 2023-09-14T21:45:32.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-09-22T07:41:10.000Z (over 2 years ago)
• Last Synced: 2025-01-22T21:41:27.499Z (about 1 year ago)
• Language: Jupyter Notebook
• Size: 46 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
[](https://account.qbraid.com?gitHubUrl=https://github.com/qBraid/IEEE_QCE23_qBraid_Tutorial.git)

Attendees will learn how to use qBraid’s platform to accelerate quantum research and development by accessing many tools and hardware providers in one location. Attendees will also be taken through a short tutorial on variational quantum algorithms (VQAs) that demonstrates qBraid’s capabilities while teaching about VQAs. 

**Rough Timeline**

Session 1:

- 10:00 - 10:15: Getting everyone setup and logged in

- 10:15 - 10:35: Slideshow overview of qBraid

- 10:35 - 10:50: Live walkthrough of lab

- 10:50 - 11:10: Welcome nb

- 11:10 - 11:30: Advanced Features nb

Session 2:

- 1:00 - 1:10: Recap

- 1:10 - 1:25: Hands-on Exercises 1

- 1:25 - 1:45: Intro to VQA nb

- 1:45 - 2:05: Overview to Comb. Opt. nb

- 2:05 - 2:30: Intro to QAOA

*Use any extra time to explore qBraid Lab at your own pace and ask questions!