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naQa'a (NYUD QC Hackathon)

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Technologies: Qiskit, qBraid

At the NYUD QC Hackathon, I developed naQa'a, a quantum optimization tool designed to improve agricultural efficiency in the UAE by optimizing crop rotation strategies. The project addressed the need for sustainable agricultural practices to maximize land productivity while conserving resources.

  1. Problem Analysis: Analyzed the agricultural challenges, including resource limitations, crop rotation schedules, and land use inefficiencies.

  2. Quantum Algorithm Design: Leveraged the "Aqricult" quantum algorithm to create a model for multi-year crop distribution in a 3D spatial environment, considering variables such as soil health, water availability, and crop compatibility.

  3. Implementation: Built the optimization model using Qiskit and qBraid platforms, utilizing quantum computing’s capabilities for solving complex optimization problems more efficiently than traditional methods.

  4. Results: Demonstrated significant improvements in land-use efficiency and sustainable farming practices, showcasing the application of quantum computing to real-world agricultural challenges.

This project highlighted my ability to apply emerging technologies like quantum computing to solve critical sustainability issues.

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