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arXiv · 2506.15671

Quantum-inspired algorithm for simulating viral response

Daria O. Konina·Dmitry I. Korbashov·Ilya V. Kovalchuk·Aygul A. Nizamieva·Dmitry A. Chermoshentsev·Aleksey K. Fedorov
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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.

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Daria O. Konina, Dmitry I. Korbashov, Ilya V. Kovalchuk, Aygul A. Nizamieva, Dmitry A. Chermoshentsev, Aleksey K. Fedorov. 2025-06-18. Quantum-inspired algorithm for simulating viral response. https://arxiv.org/abs/2506.15671

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