Quantum Data Compression via Wavefunction Collapse

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum data compression aims to efficiently represent quantum states and information by exploiting the inherent fragility of quantum measurement processes. This paper explores a novel compression algorithm predicated on the principle of wavefunction collapse, hypothesizing that the collapse of a quantum wavefunction during compression provides a more efficient representation than traditional methods. We detail the core mechanism of this algorithm, outlining its design and the theoretical underpinning of its potential for near-lossless data compression. The paper presents a detailed explanation of the algorithm's components, including the analysis of the waveform, the collapse process, and the reconstruction process. We discuss the potential advantages and challenges associated with this approach, ultimately asserting that it represents a significant step towards a more robust and efficient data compression paradigm.

DOI: 10.5281/zenodo.22441438

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