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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

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 to monitor jobs or use pre installed 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:

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

QAOA to solve QUBO using Pasqal

Quantum Algorithm Zoo

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.
  • d. The project is fully fleshed out and compelling. We aim to update on a case by case basis.

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