Quantum Computer Architecture Design Based on Quantum Biology Principles

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper proposes a novel quantum computer architecture design rooted in the principles of quantum biology. Traditional quantum computing architectures often struggle with decoherence and scalability, presenting significant hurdles to practical implementation. This work posits that quantum effects, previously observed and utilized within biological systems, offer a potentially more robust and efficient approach. Specifically, we explore how processes like quantum entanglement, quantum tunneling, and quantum coherence – frequently employed by biological organisms for tasks ranging from photosynthesis to bird navigation – can be harnessed within a computational framework. The core claim is that by directly mimicking and leveraging these biological mechanisms, we can design quantum computer architectures exhibiting improved fidelity, reduced error rates, and enhanced scalability. The architecture presented here incorporates several key elements, including a novel qubit design inspired by photosynthetic reaction centers and a control system modeled after biological feedback loops. Mathematical formulations are provided to illustrate the principles of operation and to quantify the potential improvements. The research presents a fundamental shift in perspective, transitioning from purely physics-based approaches to one that draws upon the remarkable efficiency and resilience found in nature's quantum systems.

DOI: 10.5281/zenodo.22315425

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