Back

SUSTAINABLE ENGINEERING APPROACHES USING QUANTUM ALGORITHMS TO PREDICT OCEANIC PLASTIC DRIFT PATTERNS.

  • Published In: i-Manager's Journal on Life Sciences (JLS), 2025, v. 4, n. 2. P. 29 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: P., XAVIER NISHANTH 3 of 3

Abstract

The proliferation of microplastics in marine environments poses a significant ecological threat, necessitating sophisticated modeling techniques to understand their distribution and transport mechanisms. Traditional computational methods typically struggle to capture the intricate dynamics of ocean currents and their interactions with microplastic particles due to the sheer complexity and variability of marine ecosystems. In light of these challenges, quantum computing emerges as a transformative technology capable of enhancing predictive accuracy and computational efficiency in environmental modeling. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:i-Manager's Journal on Life Sciences (JLS). 2025/08, Vol. 4, Issue 2, p29
  • Document Type:Article
  • Subject Area:Oceanography
  • Publication Date:2025
  • ISSN:2583-9500
  • DOI:10.26634/jls.4.2.22364
  • Accession Number:188093777
  • Copyright Statement:Copyright of i-Manager's Journal on Life Sciences (JLS) is the property of i-manager Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.