Quantum State Representation via Adaptive Embedding

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum State Representation via Adaptive Embedding addresses the limitations of current methods in representing quantum states, focusing on reducing dimensionality and enhancing representational power through the application of adaptive embedding techniques. This paper presents a novel approach to quantum state encoding that learns a lower-dimensional representation of the quantum state based on observed behavior, thereby mitigating the inherent complexity of quantum systems. The core mechanism involves a learned embedding function that captures the essential information within the quantum state, offering a pathway towards more efficient and insightful representation. This research explores the potential of this technique to improve the performance of quantum algorithms and enhance our understanding of quantum mechanics.

DOI: 10.5281/zenodo.22192045

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