Author Login IJIRT Partner Network (IPN) Login

Quantum Machine Learning for Anti-Microbial Classification in Essential Oil Components: Challenges and Advancements using QGANs

  • Unique Paper ID: 160351
  • Volume: 10
  • Issue: 3
  • PageNo: 209-215
  • Abstract:
  • Essential oils have gained widespread recognition for their ability to combat microorganisms, serving as natural alternatives to synthetic antimicrobial agents. However, the intricate nature of essential oil components and their interactions with microorganisms pose challenges in identifying the most potent anti-microbial elements. Traditional screening methods are costly, time-consuming, and yield limited success. This study delves into the potential and limitations of utilizing quantum machine learning in the field of drug discovery. The use of quantum machines stems from the fact that chemical systems are governed by quantum mechanics, which are challenging to simulate with classical computers By leveraging this approach, it becomes feasible to uncover potential anti-microbial agents within essential oils, thus contributing to the development of novel and efficient natural products with antimicrobial properties. This research paper, examines the feasibility of loading essential oil data using Generative Adversarial Networks into quantum machine learning algorithms for classifying the essential oil components based on their anti-microbial properties.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 3
  • PageNo: 209-215

Quantum Machine Learning for Anti-Microbial Classification in Essential Oil Components: Challenges and Advancements using QGANs

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry