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Solving the Advection Equation

Classiq Quantum Use-Case for Qinnovision World Challenge 2025 | Solving the Advection Equation Using Hamiltonian Simulation

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Solving the Advection Equation

If this is your first competition on Aqora, we highly recommend you follow the H2 Groundstate Energy Tutorial to get familar with the platform and the CLI.

Downloading the template

To download the template for this use case, you can run the following command in the terminal
aqora template classiq_qinnovision
This will download the template into a folder called classiq_qinnovision.
You can then open the folder in Visual Studio Code by running the following command in the terminal
aqora lab -p classiq_qinnovision
This should open the folder in Visual Studio Code. If you receive a prompt, you can click on "Yes, I trust the authors".

Getting Started

You can find a template notebook in submission/solution.ipynb. Fill in your solution. You can run the notebook locally to test your solution by running the following in the terminal
aqora test
And when you are ready to submit run
aqora upload

Getting started with Classiq

  1. Registration and Installation
    Getting started with Classiq is really simple! You can work directly on our web-based IDE or use your preferred IDE (PyCharm, VS Code, Jupyter) by downloading and importing our SDK (from classiq import *). For detailed instructions, visit: Classiq Registration & Installation. We recommend using the Classiq SDK for the challenge.
  2. Classiq 101
    Our comprehensive guide covers all the platform fundamentals and provides guided implementations of quantum primitives, reflecting Classiq's unique approach of designing quantum algorithms using functional building blocks. Access the guide here: Classiq 101, and watch the accompanying video tutorials: YouTube Playlist.
  3. Join Our Community on Slack
    Get your questions answered, explore previous discussions, and connect with our vibrant community here: Classiq Community Slack.
  4. Explore Our GitHub Repository
    Browse through a wide range of algorithms, workshops, and other resources on our GitHub: Classiq GitHub.