Wednesday, June 24, 2026
Quantum systems are fragile. When a qubit interacts with a noisy environment, the information it carries can easily be lost, scrambled in such a way that retrieving the information is virtually impossible.
But not in all scenarios.
PhD student Einar Gabbassov has been exploring cases where quantum information loss can be reversed, taking inspiration from image generation models like DALL-E or SORA. These are known as diffusion models. They are trained by allowing an image to gradually be turned into noise, and then they attempt to work backwards from the noise to recreate a clear picture.
Read the full story from the Perimeter Institute to learn more.