Quantum-Enhanced Probability Theory with Non-Deterministic Landscapes

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum-enhanced probability theory seeks to reconcile the seemingly paradoxical nature of quantum mechanics with the framework of probability theory. This paper explores a novel approach, extending standard probability theory to incorporate dynamically evolving landscapes with non-deterministic parameters, ultimately aiming to provide a more realistic model of quantum phenomena. We introduce a "landscape adjustment algorithm" that subtly alters the probabilities of different outcomes within the landscape, creating a probabilistic evolution. This mechanism represents a significant step towards bridging the gap between quantum mechanics and probability theory, offering a potentially transformative perspective on uncertainty and the inherent randomness within quantum systems.

DOI: 10.5281/zenodo.22578020

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