https://github.com/qbraid/nyuad-2025
https://github.com/qbraid/nyuad-2025
Last synced: 7 months ago
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- Host: GitHub
- URL: https://github.com/qbraid/nyuad-2025
- Owner: qBraid
- Created: 2025-04-26T05:47:36.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-04-26T08:01:30.000Z (9 months ago)
- Last Synced: 2025-06-10T01:09:06.272Z (8 months ago)
- Language: Jupyter Notebook
- Size: 274 KB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
[
](https://account.qbraid.com?gitHubUrl=https://github.com/qBraid/NYUAD-2025.git&redirectUrl=nyuad_2025_demo.ipynb)
# NYUAD Hackathon for Social Good in the Arab World: Focusing on Quantum Computing (QC) and Aritificial Intelligence (AI)
https://hackathon.nyuad.nyu.edu/2025-program/
## Getting started
Step 1. Enter the code provided on discord and on the google sheet on https://account.qbraid.com/account-details to receive credits and access to Azure devices.
Step 2. Use [qBraid SDK pre release](https://pypi.org/project/qbraid/0.9.6.dev20250425155658/)
```bash
pip install qbraid==0.9.6.dev20250425155658
```
Step 3. Use the launch on qBraid button to open in qBraid Lab or use our [VSCode extension qBraid Quantum Console](https://marketplace.visualstudio.com/items?itemName=qBraid.quantum-console) to [monitor jobs](https://docs.qbraid.com/lab/user-guide/quantum-jobs) or use [pre installed environments](https://docs.qbraid.com/lab/user-guide/environments).
## Technical challenge
_Create a program that applies one or more quantum algorithms to a social good
problem of your choice._
**Quantum algorithm examples**:
- Shor's algorithm
- Grover's search
- Variational Quantum Eigensolver (VQE)
- Quantum Approximate Optimization Algorithm (QAOA)
**Social good topic examples**:
- Healthcare
- Science (e.g. AI, cryptography, biochemistry)
- Environment (climate)
- Education & Literacy
- Food Securities
- Crisis & Public Safety
- Financial Modeling
- Gaming
**Implementation requirements**:
- Must utilize quantum hardware available through Microsoft Azure
Quantum.
- Must utilize an Azure simulator or emulator made available via access code.
- You are also free to use any technology which allows you to solve the
challenge.
**Device pricing and availability**:
- [Azure Quantum pricing](https://azure.microsoft.com/en-us/pricing/details/azure-quantum/)
- [qBraid Azure supported devices](https://docs.qbraid.com/home/pricing#quantum-computers-on-demand)
# qBraid/Azure Device Tutorials
Here, we provide useful tutorials on how to use qBraid, along with tutorials
on quantum computing, using Azure Quantum.
[qBraid Lab and software demos](https://github.com/qbraid/qbraid-lab-demo)
[QAOA to solve QUBO using Pasqal](https://github.com/pasqal-io/Pulser/blob/develop/tutorials/applications/QAOA%20and%20QAA%20to%20solve%20a%20QUBO%20problem.ipynb)
[Quantum Algorithm Zoo](https://quantumalgorithmzoo.org/)
Note: Teams will have access to QPUs only if they have successfully demonstrated the following:
- a. Ran and passed on emulator or simulator.
- b. Passed the syntax checker, if avaialble.
- c. The cost is reasonable, we believe this will be a good exercise on understanding how to calculate your costs. View Azure pricing [here](https://learn.microsoft.com/en-us/azure/quantum/pricing?tabs=tabid-paygo%2Ctabid-paygoPasqal%2Ctabid-H2).
- d. The project is fully fleshed out and compelling. We aim to update on a case by case basis.