Quantum-inspired algorithm for simulating viral response
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arXiv
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| Hauptverfasser: | , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866908480655327232 |
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| author | Konina, Daria O. Korbashov, Dmitry I. Kovalchuk, Ilya V. Nizamieva, Aygul A. Chermoshentsev, Dmitry A. Fedorov, Aleksey K. |
| author_facet | Konina, Daria O. Korbashov, Dmitry I. Kovalchuk, Ilya V. Nizamieva, Aygul A. Chermoshentsev, Dmitry A. Fedorov, Aleksey K. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_15671 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Quantum-inspired algorithm for simulating viral response Konina, Daria O. Korbashov, Dmitry I. Kovalchuk, Ilya V. Nizamieva, Aygul A. Chermoshentsev, Dmitry A. Fedorov, Aleksey K. Genomics Molecular Networks Quantum Physics 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. |
| title | Quantum-inspired algorithm for simulating viral response |
| topic | Genomics Molecular Networks Quantum Physics |
| url | https://arxiv.org/abs/2506.15671 |