Probability Space and Quantum Computing: A Joint Modeling Framework for Super-Measurements

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper explores the synergistic potential of probability space theory and quantum computing. We propose a novel framework for joint modeling, designed to investigate the application of super-measurements within the context of quantum information processing. The core mechanism centers around leveraging the inherent properties of probability spaces to effectively describe and analyze the behavior of quantum systems. The research aims to advance our understanding of super-measurements and their potential integration with quantum computation. This work demonstrates the utility of probability spaces as a foundational tool for modeling and understanding complex quantum phenomena.

DOI: 10.5281/zenodo.22638550

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