Video Processing on Quantum Computers
summary
Quantum experiments actually put images on a cloud device: a NEQR image encoding uses two qubits for X and Y, two for grayscale, compiled into about 42 steps and run on IonQ ar1 via Amazon Braket. Running the Bell‑state and image circuits for 1000 shots on a 25‑qubit device yields ~500 counts each for 00 and 11 with some 01/10 noise, showing the circuits run but decoherence and gate noise still dominate.
AI-written summary · about
chapters (7)
- 0:00Quantum computing intro
- 1:28Superposition and entanglement
- 3:39Quantum circuits
- 7:14Running on real hardware
- 9:41Quantum video processing with NEQR
- 12:32Future of quantum image processing
- 13:57Current state and resources
related talks
50mHow to Beat a Quantum Computer Using WebAssembly?
20mFrom ML to LLM: On-Device AI in the Browser
01h 02mTurning software into computer chips – Hastlayer
31mFrom ML to LLM on device AI in the browser
01h 01mClosing Keynote: Next Decade of Software Development
18mWeb AI on next generation AI PCs
18mHow to turn your ideas in AI into products
48mWorkshop: Efficient and Portable AI / LLM Inference on the Edge Cloud