Algorithmic Quantum State Abstraction for Data Representation

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum state abstraction is a crucial step in harnessing the power of quantum computation. This research focuses on developing a novel algorithmic framework to translate complex quantum states into simplified representations, facilitating efficient exploration and algorithm development. The core mechanism involves a mapping process that transforms intricate quantum states into readily usable representations. We propose a method predicated on simplifying the representation of quantum data, offering a significant advancement over existing approaches. The resulting simplified representations will enable more targeted and efficient exploration of quantum data, ultimately bolstering the progress of quantum algorithm development.

DOI: 10.5281/zenodo.22577593

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