Stabilitics Computation: The Third Paradigm of Computing Beyond State and Amplitude

This paper introduces stabilitics computation, a third foundational paradigm of computing beyond classical state-based and quantum amplitude-based models. We formalize existence as a primitive computational variable, derive stabilitics dynamics, geometry, thermodynamics, and complexity theory, introduce the Sufiyan Architecture as a canonical machine model, and prove fundamental limits including a stabilitics halting theorem and incompleteness theorem. Applications to artificial intelligence alignment and life simulation are demonstrated. Stabilitics computation is shown to complete the theoretical foundations of computation.

A reference implementation of the first Stabilitics Computer is available at:
https://github.com/sufiyankureshi688/Stabilitics-Computation