Title: Quantum Simulation of Biological Metabolic Pathways via Adaptive Quantum States

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum simulation offers a revolutionary approach to modeling complex biological systems, particularly metabolic pathways, which currently demand immense computational resources. This paper explores the application of quantum computing to simulate these pathways, focusing on the development of a novel method for dynamically adapting quantum states to mimic the intricate changes inherent within metabolic processes. We propose a quantum circuit design that mimics the key steps of a metabolic pathway, leveraging adaptive quantum states to represent and evolve the energy levels, thereby providing a pathway to significantly enhance the fidelity and accuracy of simulations. The core claim is that this method will enable a more thorough investigation of metabolic dynamics, offering unprecedented insights into biological function and potential therapeutic targets.

DOI: 10.5281/zenodo.22314500

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