Zhahir, Amirul Asyraf
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Entanglement classification – a comparative study of ??(?) and ??(?) developed operator model Zhahir, Amirul Asyraf; Mohd, Siti Munirah; M. Shuhud, Mohd Ilias; Idrus, Bahari; Zainuddin, Hishamuddin; Mohamad Jan, Nurhidaya; Wahiddin, Mohamed Ridza
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 13, No 3: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v13i3.pp556-562

Abstract

Entanglement classification is a core aspect of quantum information theory. It ensures successful quantum information processing. This article presents a comparative study of entanglement classification using developed operator models for the special unitary group and special linear group. This study was built upon prior work in entanglement classification in a pure three-qubit quantum system environment, where the operator models for each mathematical group were independently developed. Through extensive analysis, both synthesized models are functionally effective and yield the desired results. However, the comparative analysis reveals that the operator model exhibits certain limitations, particularly in its early phase of development compared to. This study provides significant enlightenments into the practical abilities of the developed operator models in entanglement classification and underlines the theoretical distinction between and paving the path for future research in quantum information theory, specifically entanglement classification.
Smart Farming Adoption – A Scoping Review Zhahir, Amirul Asyraf; Shuhud, Mohd Ilias M; Mohd, Siti Munirah; Kamarudin, Shafinah; Ahmad, Azuan; Salleh, Rossly; Norwawi, Norita MD
KONSTELASI: Konvergensi Teknologi dan Sistem Informasi Vol. 4 No. 1 (2024): Juni 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/konstelasi.v4i1.9257

Abstract

Smart farming, one of the most rapidly growing technologies in the agriculture sector in the midst of the Industrial Revolution 4.0 era, signifies the integration of technologies into the industry. Numerous challenges of the agriculture sector were able to be decoded and formulated efficiently. Over the past few years, research on smart farming has grown expeditiously, observing in every different cornerstone of the sector. The main objective of this study is to investigate into the smart farming technology adoption exogenous factors through the lens of a scoping review. Selections of article from several different sources, published between 2010 and 2024 with specific keywords were thoroughly observed. Valuable information was identified and discussed, particularly the positively and negatively factors influencing the adoption of smart farming. The study serves as a bedrock for an upcoming study in the smart farming technology adoption.