Quantum-inspired algorithm for simulating viral response
Abstract
Understanding the properties of biological systems is an exciting avenue for applying advanced approaches to solving corresponding computational tasks. A specific class of problems that arises in the resolution of biological challenges is optimization. In this work, we present the results of a proof-of-concept study that applies a quantum-inspired optimization algorithm to simulate a viral response. We formulate an Ising-type model to describe the patterns of gene activity in host responses. Reducing the problem to the Ising form allows the use of available quantum and quantum-inspired optimization tools. We demonstrate the application of a quantum-inspired optimization algorithm to this problem. Our study paves the way for exploring the full potential of quantum and quantum-inspired optimization tools in biological applications.
Cite
@article{arxiv.2506.15671,
title = {Quantum-inspired algorithm for simulating viral response},
author = {Daria O. Konina and Dmitry I. Korbashov and Ilya V. Kovalchuk and Aygul A. Nizamieva and Dmitry A. Chermoshentsev and Aleksey K. Fedorov},
journal= {arXiv preprint arXiv:2506.15671},
year = {2025}
}
Comments
35 pages, 6 figures