Title: Quantum State Transfer with Adaptive Resonance

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Quantum state transfer is a critical process in quantum information processing, enabling the manipulation and transfer of quantum states between qubits. Current state transfer protocols often suffer from inefficiencies, requiring significant resources and time. This paper introduces a novel quantum state transfer protocol utilizing Adaptive Resonance Networks (ARNs) to optimize the transfer process, minimizing resource requirements and enhancing stability. We propose a dynamic adaptation of the ARN's weights, allowing for faster and more reliable state transfers. The core mechanism focuses on a feedback loop that continuously adjusts the network's parameters to achieve optimal transfer performance. This work presents a theoretical analysis and preliminary experimental validation demonstrating the effectiveness of this approach compared to existing state transfer techniques.

DOI: 10.5281/zenodo.22220699

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