About
Gauthier Thiry
Independent writer behind Qubit Gradient.
I’m Gauthier Thiry, an independent writer passionate about quantum computing and artificial intelligence for years. Qubit Gradient is where I explore their intersection, follow the original research and help readers stay current. My aim is to make the methods and their limits easier to understand, without turning every experiment into a promise of universal advantage.
My approach
Every research note must distinguish AI used for quantum systems from quantum methods used for learning. Claims should identify the task, dataset, baseline, hardware or simulator and resource budget. A theoretical separation is not presented as a general performance benchmark. Preprints, simulations, experimental results and reproduced runs receive distinct labels. Code and sources remain traceable.
Currently, this site shows no advertising and contains no affiliate links or sponsored content.
Contact
Questions, suggested sources or corrections: gauthier@saasexpand.io.
Report an error · Editorial approach · Publisher & contact · www.gquthier.com