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Addressing ecological challenges from a quantum computing perspective

Maxime Clenet,M. Dion,F. G. Blanchet

Published 2025 in Methods in Ecology and Evolution

ABSTRACT

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 offer an elementary guide to quantum computing, introducing core concepts such as qubits, superposition, entanglement and quantum advantage to give ecologists the foundations needed to appreciate its relevance and potential. Our perspective highlights that quantum computing could enhance the power of statistical tools, tackle intractable problems in ecological networks and capture the dynamics of large systems of interacting species more efficiently than classical approaches. By bringing a computational perspective grounded in quantum technologies, this work opens new opportunities for ecology: redefining our understanding of species interactions, improving predictive models of biodiversity distributions and optimizing conservation strategies. Quantum computing thus has the potential to transform ecological research and guide the field towards a new era of discovery and insight.

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