| Acronym: QuNetMed |
| Main Objective: The goal of this project is to research the potential of using quantum algorithms to solve complex network problems, with a focus on biological networks. The term “biological complex networks” is broad, encompassing several biological processes that can be described as a set of interacting nodes, ranging from protein–protein interaction networks to food webs [1-4]. The idea of using quantum computation to study complex networks was explored in [5] for general networks and in [6] for biological ones. In [5] the authors show that quantum computation can be used to find communities in signed graphs [3], and in [6] that quantum computation can be used to predict missing links in protein-protein interaction networks. The question we want to address with this project is what other problems in biological networks and network medicine can be tackled with quantum computation. |
| Reference: 2022.05558.PTDC |
| Funding: FCT |
| Approval Date: 12-12-2022 |
| Start Date: 01-01-2023 |
| End Date: 30-06-2024 |
| Team: Bruno Gabriel Coelho Coutinho, Emmanuel Zambrini Cruzeiro, Francisco Antonio Taveira Branco Nunes Monteiro, Ricardo Freitas Quintas, Andre Jorge Vinagre Roque, Patrícia Marques |
| Groups: Physics of Information and Quantum Technologies - Lx |
| Partners: FCT |
| Local Coordinator: Bruno Gabriel Coelho Coutinho |
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Associated Publications
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