Understanding the research and applications of quantum computing

Ajit Pal Singh

Quantum computing represents a paradigm shift in computational capabilities, promising to solve problems that are intractable for classical computers. This paper explores the architecture, implementation, and operational aspects of quantum computing, focusing on its applications in various fields. I conducted a comprehensive literature review to identify existing research gaps and propose methodologies for effective quantum computing implementation. My findings highlight the potential of quantum computing in optimization, cryptography, and machine learning, among other areas. This research paper provides a comprehensive examination of the architecture, implementation, and operational strategies of quantum computing, with a focus on its diverse applications in optimization, cryptography, and machine learning. Through an extensive literature review, I identify critical research gaps and propose innovative methodologies for effective quantum computing implementation. I conclude with strategic recommendations for future research directions, emphasizing the importance of enhancing quantum hardware, developing hybrid algorithms, and fostering interdisciplinary collaborations. This foundational study not only deepens the understanding of quantum computing’s current state but also paves the way for future advancements in this rapidly evolving field. The insights gained from the literature review, methodology, and results sections contribute to a deeper understanding of the current state of quantum computing and its potential applications.

Robert H. Ewald

Asadullah Khalid, Shahid Tufail, Arif I. Sarwat

Quantum Computing technology is currently prevailing as a promising candidate for expanding the research horizons in the areas of power engineering and transportation. An across-the-board view of this technology identifies that the intersecting research of interest which covers both areas is the identification of innovative energy storage technologies. Quantum Computers (QC) provide the capability to develop an innovative energy storage system, but its operating principles encompass the domains of Quantum Physics (QP) and Quantum Mechanics (QM) and thus limit the understanding of its underlying functionality. The applicable storage system under research using QC, termed Quantum Battery (QB) is considered to be a theoretical construct, which means that it is not directly observable. This paper attempts to piece together the QM and its applications in a QC, directed towards the identification of an innovative QB, by providing a review of the existing researches. Also, the explanations of various postulates and their corresponding formulations leading to the QM framework behind a QB is presented. This is followed by a review of the underlying operation of a QC and its application in performing battery research. A summary of the existing QB researches is also presented which are categorized into particle- and chemistry-driven (quantum) battery researches.

K S Balamurugan, A. Sivakami, Mathankumar M +2 more

Quincy Mccarthy

Prabhash Kumar, Dr. Shailaj Kumar Srivastava, Dr. Narendra Kumar +2 more

The limitations of traditional CMOS-Technology for bulk and highperformance computing applications may be solved by quantum computing. More scholars are turning to this topic as a result of its potential to change the modern computing industry. However, because quantum aspects are involved, many newcomers find it challenging to understand the field. Therefore, an effort has been made in this research note to introduce researchers, quantum engineers, and scientists to the many features of quantum computing research, quantum scientists and engineers. The historical context and fundamental ideas required to comprehend quantum-computation and processing of information have been clearly introduced. This paper also discusses various quantum computing physical implementations and prospective application domains