Algorithmic Quantum Simulation of Biological Systems

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper explores the potential of algorithmic quantum simulation to revolutionize the study of biological systems. Biological systems exhibit intricate, non-linear interactions that are exceedingly challenging for classical computational methods. Quantum computers, with their unique ability to represent and manipulate quantum states, offer a paradigm shift in this domain. We propose a novel method leveraging quantum algorithms to simulate key biological processes, aiming to provide unprecedented levels of detail and understanding. The core claim centers on the development of a robust and efficient quantum simulation framework for biological systems, addressing limitations inherent in current classical approaches. This investigation will detail the algorithmic steps, proposed quantum circuit designs, and preliminary results demonstrating the feasibility of this approach. The focus will be on elucidating fundamental biological processes and providing valuable insights into their underlying mechanisms.

DOI: 10.5281/zenodo.22502344

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