Title: Quantum Information Super-Resolution Computation

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Quantum information processing has emerged as a transformative technology with significant potential across diverse fields, including image processing and data analysis. This paper presents a novel approach to super-resolution computation leveraging the unique properties of quantum information – specifically, superposition and entanglement – to achieve significantly improved results compared to classical methods. We propose a new algorithm that utilizes a quantum-enhanced measurement process to precisely determine pixel values, ultimately leading to enhanced image reconstruction and data interpretation. The core claim of this work is the design of a quantum-informed super-resolution algorithm that surpasses current state-of-the-art performance, particularly in scenarios demanding high-fidelity image reconstruction. This research explores the potential of quantum entanglement and superposition to address challenges inherent in traditional super-resolution techniques. We will detail the underlying mathematical framework, provide a simplified implementation, and discuss the theoretical implications of this approach.

DOI: 10.5281/zenodo.22222400

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