Dr. Jafhate Edward is a Lecturer in the School of Computer Science at Taylor's University, Malaysia, specializing in Artificial Intelligence, Quantum Information, Data Mining, and Intelligent Systems. He holds a PhD in Computer Science from Universiti Teknologi MARA (UiTM), where his research focused on advanced machine learning frameworks for imbalanced medical data classification. His research spans artificial intelligence, quantum computing, quantum information processing, computational thermodynamics, and physics-inspired computing. He has published several peer-reviewed papers in Scopus-indexed journals, including IEEE Access, and has presented his work at leading international conferences. His current research explores the intersection of quantum information science, black hole thermodynamics, and next-generation energy-efficient computing. Dr. Edward has extensive academic and industry experience, having served as a lecturer at Taylor's University, Universiti Malaysia Sabah, and Universiti Teknologi MARA. He teaches courses in Artificial Intelligence, Data Mining, Theory of Computation, and Software Engineering while actively supervising undergraduate and postgraduate research projects. Before entering academia, he worked as a mobile application developer, contributing to enterprise software and mobile application development projects. His long-term vision is to advance intelligent computing by integrating artificial intelligence with the fundamental principles of quantum science and physics, contributing to innovative computational technologies for the future.

Black Hole Thermodynamics as Inspiration for Energy-Efficient Quantum Information Processing: A Conceptual Perspective Quantum computing has become one of the most promising technologies for solving computational problems that are beyond the capabilities of classical computing. Significant progress has been achieved in quantum hardware, quantum algorithms, and error-correction techniques over the past decade. Nevertheless, developing scalable and energy-efficient quantum information processing remains one of the major challenges in realizing practical quantum computing. While current research has primarily focused on improving computational performance and hardware reliability, less attention has been given to exploring naturally occurring physical systems that have long existed in nature as potential sources of inspiration for future quantum computing principles. This paper presents a conceptual perspective on how black hole thermodynamics may serve as a source of inspiration for future energy-efficient quantum information processing. Rather than suggesting that black holes should be directly implemented as computational systems, this work on the other hand, explores the possibility that the fundamental relationship between information, entropy, and energy observed in black hole thermodynamics may offer valuable insights into the physical limits of information processing. Concepts such as black hole entropy, Hawking radiation, quantum thermodynamics, and Landauer's principle are discussed to illustrate how extreme physical systems may inspire new ways of thinking about computational efficiency and energy dissipation. The purpose of this work is not to introduce a new quantum computing architecture, but to encourage an interdisciplinary perspective that connects gravitational physics with quantum information science. By considering black hole thermodynamics as a conceptual source of inspiration rather than a direct implementation, this paper aims to stimulate further discussion on whether fundamental physical principles can guide the development of future quantum technologies. It is hoped that this perspective will encourage further theoretical and experimental investigations at the intersection of quantum computing, thermodynamics, and information theory, ultimately contributing to the development of more energy-efficient approaches to quantum information processing.