Quantum Biofeedback Algorithm

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper proposes a novel approach to complex system control and optimization utilizing a Quantum Biofeedback Algorithm. The core concept involves simulating quantum biofeedback mechanisms within a computational framework, leveraging quantum entanglement and superposition to construct a model mirroring biological feedback loops. Quantum bits (qubits) represent biological signals, and quantum gates simulate the transmission and regulation inherent in these loops. This approach aims to achieve precise control over target systems characterized by high non-linearity. The algorithm's novelty lies in its fusion of quantum computing principles with biological feedback mechanisms, offering a potential solution beyond the limitations of conventional control theories. The methodology presented herein provides a theoretical framework and a potential pathway for addressing intricate problems with highly non-linear characteristics.

DOI: 10.5281/zenodo.22294544

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