Title: Dynamically Reconfigurable Quantum Circuits for Pattern Recognition

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper explores the potential of dynamically reconfigurable quantum circuits for advanced pattern recognition. Traditional quantum computing approaches often struggle with the inherent inflexibility required to process complex, evolving data. We propose a novel architecture that utilizes a system of reversible quantum gates to dynamically alter the circuit's fundamental structure in response to input data, enabling the creation of highly adaptable pattern recognition systems. This research delves into the design of such circuits, focusing on the implementation of a real-time reconfiguration mechanism. The core claim is that these circuits can effectively handle diverse patterns through continuous adaptation, surpassing the limitations of static quantum systems.

DOI: 10.5281/zenodo.22525727

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