Quantum computing: a new paradigm for ecology

被引:3
|
作者
Woolnough, Andrew P. [1 ]
Hollenberg, Lloyd C. L. [2 ]
Cassey, Phillip [3 ]
Prowse, Thomas A. A. [3 ]
机构
[1] Univ Melbourne, Res Innovat & Commercialisat, Parkville, Vic 3010, Australia
[2] Univ Melbourne, Sch Phys, Parkville, Vic 3010, Australia
[3] Univ Adelaide, Invas Sci & Wildlife Ecol Lab, Adelaide, SA 5005, Australia
关键词
MONTE-CARLO; MODEL SELECTION; INFERENCE;
D O I
10.1016/j.tree.2023.04.001
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
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.
引用
收藏
页码:727 / 735
页数:9
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