A Hardware-First Educational Experience for the OQD Stack
This project is a submission for the OQD Interactive Teaching Tool Bounty. It bridges the "Quantum Gap" by providing a tactile, hardware-aware simulator for Trapped-Ion systems.
- Grover Maze (Scientist Mode): Forces users to manually construct X-gate sandwiches to understand phase kickback.
- Camera-Driven BB84: Uses the OQD camera feed as a physical source of entropy for basis sifting.
- Hardware-Linked: Direct mapping of logical gates to physical laser and trap actuations.
This suite addresses the Computer Science Challenges in Early Fault-Tolerance (arXiv:2601.20247) by providing intuitive abstractions for hardware-aware programming.
- Clone the repo.
- Run
python main.py. - Select a mode to begin.# GATE Select right gate