Quantum computing: a new paradigm for ecology.

disruptive technology numerical ecology quantum computing

Journal

Trends in ecology & evolution
ISSN: 1872-8383
Titre abrégé: Trends Ecol Evol
Pays: England
ID NLM: 8805125

Informations de publication

Date de publication:
08 2023
Historique:
received: 24 10 2022
revised: 27 03 2023
accepted: 03 04 2023
medline: 14 7 2023
pubmed: 28 4 2023
entrez: 27 4 2023
Statut: ppublish

Résumé

A global technology arms race is underway to build evermore powerful and precise quantum computers. Quantum computers have the potential to tackle certain quantitative problems quicker than classical computers. The current focus of quantum computing is on pushing the boundaries of fundamental quantum information and commercial applications in industrial sectors, financial services, and other profit-led sectors, particularly where improvements in optimisation and sampling can improve increased economic return. We believe that ecologists could exploit the computational power of quantum computers because the statistical approaches commonly used in ecology already have proven pathways on quantum computers. Moreover, quantum computing could ultimately leapfrog our understanding of complex ecological systems, if the hardware, opportunity, and creativity of quantitative ecologists all align.

Identifiants

pubmed: 37105850
pii: S0169-5347(23)00081-2
doi: 10.1016/j.tree.2023.04.001
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

727-735

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests No interests are declared.

Auteurs

Andrew P Woolnough (AP)

Research, Innovation and Commercialisation, University of Melbourne, Parkville, Victoria 3010, Australia. Electronic address: andrew.woolnough@unimelb.edu.au.

Lloyd C L Hollenberg (LCL)

School of Physics, University of Melbourne, Parkville, Victoria 3010, Australia.

Phillip Cassey (P)

Invasion Science & Wildlife Ecology Lab, University of Adelaide, South Australia, 5005, Australia. Electronic address: phill.cassey@adelaide.edu.au.

Thomas A A Prowse (TAA)

Invasion Science & Wildlife Ecology Lab, University of Adelaide, South Australia, 5005, Australia.

Articles similaires

Comparative assessment of physics-based in silico methods to calculate relative solubilities.

Adiran Garaizar Suarez, Andreas H Göller, Michael E Beck et al.
1.00
Solvents Solubility Quantum Theory Molecular Dynamics Simulation Thermodynamics
Humans Brain Neuroimaging Quantum Theory Neurosciences
Biological Evolution Population Density Animals Age Factors Demography

Classifications MeSH