Quantum computing: current and potential applications in digital agriculture

被引:0
|
作者
de Souza, Kleber Xavier Sampaio [1 ]
Bolfe, edson Luis [1 ]
Leite, Maria Angelica de Andrade [1 ]
Bambini, Martha Delphino [1 ]
Visoli, Marcos Cezar [1 ]
Luchiari Junior, Ariovaldo [1 ]
Dasliva, Felipe Rodrigues [1 ]
Dalla Mora, Julio Cesar [1 ]
Teixeira, Juliana Erika de Carvalho [1 ]
机构
[1] Embrapa Agr Digital, Ave Andre Tosello,209 Campus Unicamp Barao Geraldo, BR-13083886 Campinas, SP, Brazil
基金
巴西圣保罗研究基金会;
关键词
Index terms; agriculture; 5.0; biotechnology; computer science; geotechnology; precision agriculture; rural development; CLASSIFICATION;
D O I
10.1590/S1678-3921.pab2024.v59.03753
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
- Quantum computers use the properties of quantum physics to perform information storage and processing operations. The operation of these computers involves concepts such as entanglement and superposition, which endow them with a great processing power that even surpasses that of the most powerful current supercomputers, while consuming significantly lower amounts of energy. The different studies analyzed in this review article suggest that quantum computing will have a deep impact in areas such as finance, logistics, transportation, space and automotive technology, materials science, energy, pharmaceutical and healthcare industry, cybersecurity, and agriculture. In digital agriculture, several applications that could be executed more efficiently in quantum computers for data processing and understanding of biological processes were identified and exemplified. These applications are grouped here into the following four areas: bioinformatics, remote sensing, climate modeling, and smart farming. This article also explores the strategic importance of mastering quantum computing, highlights some advantages in relation to classical computing, and presents a mapping of the services already available, enabling institutions to undertake strategic planning for the incorporation of quantum computing into their development processes. Finally, the challenges for the implementation of quantum computing are highlighted, along with some ongoing initiatives aimed at furthering research at the forefront of knowledge in this area applied to digital agriculture.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture
    Goldenits, Georg
    Mallinger, Kevin
    Raubitzek, Sebastian
    Neubauer, Thomas
    SMART AGRICULTURAL TECHNOLOGY, 2024, 8
  • [2] The Potential and Challenges of Quantum Computing for Engineering Applications
    Reich, Alton
    DiSalvo, Roberto
    Reich, Miranda
    Carroll, David
    Carlson, Timothy
    PROCEEDINGS OF ASME 2023 PRESSURE VESSELS & PIPING CONFERENCE, PVP2023, VOL 2, 2023,
  • [3] Quantum Computing and Digital Computing
    Keyes, Robert W.
    IEEE TRANSACTIONS ON ELECTRON DEVICES, 2010, 57 (08) : 2041 - 2041
  • [4] Exploring Potential Applications of Quantum Computing in Transportation Modelling
    Cooper, Crispin H. V.
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (09) : 14712 - 14720
  • [5] A Cryo-CMOS Digital Cell Library for Quantum Computing Applications
    Schriek, E.
    Sebastiano, F.
    Charbon, E.
    IEEE SOLID-STATE CIRCUITS LETTERS, 2020, 3 : 310 - 313
  • [6] An overview of current and potential applications of thermal remote sensing in precision agriculture
    Khanal, Sami
    Fulton, John
    Shearer, Scott
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2017, 139 : 22 - 32
  • [7] Digital Twins in Agriculture: Orchestration and Applications
    Escriba-Gelonch, Marc
    Liang, Shu
    van Schalkwyk, Pieter
    Fisk, Ian
    Long, Nguyen Van Duc
    Hessel, Volker
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2024, 72 (19) : 10737 - 10752
  • [8] Applications of Digital Twin Technology in Agriculture
    Ehsani, Reza
    Rezvani, Zeinab
    Resource: Engineering and Technology for Sustainable World, 2024, 31 (06): : 11 - 13
  • [9] Perspective on the Current State-of-the-Art of Quantum Computing for Drug Discovery Applications
    Blunt, Nick S.
    Camps, Joan
    Crawford, Ophelia
    Izsak, Robert
    Leontica, Sebastian
    Mirani, Arjun
    Moylett, Alexandra E.
    Scivier, Sam A.
    Sunderhauf, Christoph
    Schopf, Patrick
    Taylor, Jacob M.
    Holzmann, Nicole
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2022, : 7001 - 7023
  • [10] Industry quantum computing applications
    Bayerstadler, Andreas
    Becquin, Guillaume
    Binder, Julia
    Botter, Thierry
    Ehm, Hans
    Ehmer, Thomas
    Erdmann, Marvin
    Gaus, Norbert
    Harbach, Philipp
    Hess, Maximilian
    Klepsch, Johannes
    Leib, Martin
    Luber, Sebastian
    Luckow, Andre
    Mansky, Maximilian
    Mauerer, Wolfgang
    Neukart, Florian
    Niedermeier, Christoph
    Palackal, Lilly
    Pfeiffer, Ruben
    Polenz, Carsten
    Sepulveda, Johanna
    Sievers, Tammo
    Standen, Brian
    Streif, Michael
    Strohm, Thomas
    Utschig-Utschig, Clemens
    Volz, Daniel
    Weiss, Horst
    Winter, Fabian
    EPJ QUANTUM TECHNOLOGY, 2021, 8 (01)