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Quantum computing: a new paradigm for ecology

delete2023-08-01
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PRE
AI
A
Andrew P. Woolnough *
L
Lloyd C. L. Hollenberg
P
Phillip Cassey *
T
Thomas A. A. Prowse
DOI:10.1016/j.tree.2023.04.001delete
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摘要

摘要

En 中文
A global technology arms race is underway to build evermore powerful and pre-cise 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 infor-mation 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 statis-tical 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.
Keyword:
MONTE-CARLO
MODEL SELECTION
INFERENCE

期刊

T
Trends in Ecology and Evolution
IF:
17.3
论文数:
4.4K
被引数:
4.0W

机构

U
University of Adelaide
学者数:
2.3W
论文数: 2.4W
被引数: 4.2W
U
university of melbourne
学者数:
5.7W
论文数: 5.4W
被引数: 69
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