QAIC- Towards Quantum Artificial Intelligent Computing under Informational Constraints-

Zenodo (CERN European Organization for Nuclear Research) 2026 Preprint Open access

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Authors: Radhakrishnan Jayaraman
DOI: 10.5281/zenodo.18635625
Cited by: 0

Abstract

This paper introduces Quantum Artificial Intelligent Computing (QAIC) — a foundational approach to intelligence that arises not from statistical approximation or brute-force pattern matching, but from the interaction of informational constraints within quantum event fabrics. QAIC departs from conventional AI and quantum computing paradigms by positing that intelligence, meaning, and computation emerge through the constraint-based propagation of symbolic structure, rather than via probabilistic optimization or unitary evolution alone.

Fields of Study & Subjects

Quantum Computing Algorithms and Architecture Cognitive Computing and Networks Quantum Mechanics and Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 February 2026
Language
EN
Document type
Preprint