Based on Biological Information Quantum Computing

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the integration of biological information into quantum computing, proposing a novel framework leveraging biological molecules as quantum building blocks. The core concept centers around designing quantum algorithms directly informed by the structure, dynamics, and function of proteins and DNA. We hypothesize that exploiting quantum phenomena inherent in biological systems can lead to significantly improved algorithm efficiency and robustness compared to traditional approaches. This work addresses a critical gap in quantum computing research by extending the field beyond purely hardware-focused designs. The proposed framework utilizes established principles of quantum mechanics, specifically focusing on phenomena like entanglement, superposition, and interference, within the context of biological systems. This research will examine the potential for achieving novel quantum algorithms and emphasizes the importance of integrating biological information as a key differentiator in the field.

DOI: 10.5281/zenodo.22196173

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