Wavefunction Collapse with Quantum Information

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the application of quantum information theory to the problem of wavefunction collapse, a fundamental challenge in quantum mechanics. We propose a novel quantum algorithm, termed "Quantum State-Aware Collapse" (QSAC), designed to enhance the accuracy of probabilistic predictions by dynamically adjusting the collapse probability based on observed quantum states. The core mechanism centers around a feedback loop that continuously monitors the quantum state, optimizing the collapse process to minimize errors. This research investigates the potential of QSAC to provide a more reliable and accurate approach to quantum computations, particularly within the context of quantum machine learning. The potential impact of this algorithm lies in its ability to improve the performance of quantum algorithms and provide a pathway towards harnessing quantum information for complex decision-making tasks.

DOI: 10.5281/zenodo.22198606

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