2025 -

Q-Stable [working title] extends the explorations of Quantum Drawings by integrating quantum computer data directly into AI generation processes. These experiments investigate whether quantum measurements containing traces of parallel realities can guide artificial intelligence to produce images from universes beyond our own.

The project explores a hypothesis: if quantum measurements contain traces of alternate realities, could an AI trained to process this data generate images from parallel universes?

The Process: Rather than using conventional noise patterns, this project feeds actual quantum measurements from IBM quantum computers directly into Stable Diffusion’s generation process. These measurements are converted into latent space coordinates, potentially accessing visual information beyond the AI’s original training data.

The Theory: Quantum mechanics suggests that measurements might carry echoes from parallel timelines—realities where different choices shaped different technologies, aesthetics, and cultures. By channeling this data through diffusion algorithms, the system attempts to render glimpses of worlds it has never seen.

The Results: The generated images often appear unstable and incoherent—precisely what one might expect when an AI encounters input from unfamiliar realities. Strange forms emerge that resist earthly categorization, color relationships that defy learned associations, and compositional logic that feels distinctly foreign.

Current State: These works document an active research process. Each piece captures a moment in the ongoing effort to establish a stable bridge between quantum measurement and visual generation.

The essay Q-Stable: For Now describes the project and its process in depth.