Addressing ecological challenges from a quantum computing perspective
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912310758473728 |
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| author | Clenet, Maxime Dion, Maxime Blanchet, F. Guillaume |
| author_facet | Clenet, Maxime Dion, Maxime Blanchet, F. Guillaume |
| contents | With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments. However, the development of mathematical and computational tools has made it possible to study high-dimensional problems up to a certain limit. To overcome this issue, quantum computers could be used to study ecological problems on a larger scale by creating new bridges between fields that at first glance appear to be quite different. We introduce the basic concepts needed to understand quantum computers, give an overview of their applications, and discuss their challenges and future opportunities in ecology. Quantum computers will have a significant impact on ecology by improving the power of statistical tools, solve intractable problems in networks, and help understand the dynamics of large systems of interacting species. This innovative computational perspective could redefine our understanding of species interactions, improve predictive modeling of distributions, and optimize conservation strategies, thereby advancing the field of ecology into a new era of discovery and insight. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2504_03866 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Addressing ecological challenges from a quantum computing perspective Clenet, Maxime Dion, Maxime Blanchet, F. Guillaume Other Quantitative Biology With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments. However, the development of mathematical and computational tools has made it possible to study high-dimensional problems up to a certain limit. To overcome this issue, quantum computers could be used to study ecological problems on a larger scale by creating new bridges between fields that at first glance appear to be quite different. We introduce the basic concepts needed to understand quantum computers, give an overview of their applications, and discuss their challenges and future opportunities in ecology. Quantum computers will have a significant impact on ecology by improving the power of statistical tools, solve intractable problems in networks, and help understand the dynamics of large systems of interacting species. This innovative computational perspective could redefine our understanding of species interactions, improve predictive modeling of distributions, and optimize conservation strategies, thereby advancing the field of ecology into a new era of discovery and insight. |
| title | Addressing ecological challenges from a quantum computing perspective |
| topic | Other Quantitative Biology |
| url | https://arxiv.org/abs/2504.03866 |