Quantum Biology Simulation via Topological Network Architecture

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper proposes a novel architectural framework for quantum biology simulation leveraging topological networks. The core idea is to translate the quantum information processing mechanisms observed in biological systems into the robust and inherently parallel nature of topological quantum computation. We argue that traditional simulation approaches struggle to accurately represent the complexity of biological systems due to limitations in computational power and the difficulty in capturing intricate quantum correlations. Our framework utilizes topological qubits and their associated entanglement to model biological processes, offering a potentially more efficient and scalable solution. We outline the key components of this architecture, focusing on the mapping between biological quantum phenomena and topological network structures. The simulation relies heavily on the concept of braiding operations within the network to evolve the system's quantum state, mirroring the fundamental processes within biological systems. The resultant simulation offers a path toward understanding complex biological behaviors, including photosynthesis, enzyme catalysis, and potentially even consciousness, with greater fidelity. This work lays the foundation for a new generation of quantum biology simulators.

DOI: 10.5281/zenodo.22338472

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