Title: Temporal Pattern Embedding via Quantum State Collapse

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum state collapse offers a novel approach to encoding and manipulating temporal patterns, representing complex sequences with enhanced computational efficiency. This paper explores the application of quantum state collapse to create a method for embedding temporal patterns into a quantum state, enabling efficient reconstruction and analysis of these patterns. We propose a quantum algorithm that leverages the inherent properties of quantum states to capture the temporal evolution of the embedded pattern, offering a potential advancement over existing methods. The core mechanism centers around the controlled collapse of a quantum state towards a pre-defined pattern, facilitating a streamlined reconstruction process. This work addresses limitations in current pattern embedding techniques, particularly concerning computational complexity and the ability to efficiently analyze complex sequences. We present a rigorous theoretical analysis and initial experimental validation demonstrating the feasibility and potential of this approach.

DOI: 10.5281/zenodo.22250778

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