I built a Grover’s Algorithm simulator and ran it on IBM hardware to understand it better (Linear Algebra-based explanation)

Hey everyone, After watching some videos on Grover’s algorithm, I was still struggling to grasp how it actually works under the hood. Since I don't have a deep background in physics, I decided to build and explain it myself purely through linear algebra (state vectors and matrices). I put together a GitHub repo aiming to build intuition for software engineers without the physics jargon. To make it practical, I also built a Qiskit simulator to visualize the theoretical scaling, and ran the same circuits on IBM quantum hardware to see where the physical decoherence cliff hits. I've attached the result graphs to this post. I'm definitely not a professor:) just a student trying to organize these concepts in my head. This project is kind of prep for future academic papers and work, so if any experts here have the time to skim the logic, I would highly appreciate any feedback, corrections, or critiques. (Feel free to comment here or open an Issue on the GitHub). submitted by /u/Puzzleheaded-Bee4566 [link] [comments]