Quantum computing research, applications, and advances / edited by Arun Sekar Rajasekaran, Suganyadevi S., and Fadi Al-Turjman.

Other author Rajasekaran, Arun Sekar
Other author S., Suganyadevi
Other author Al-Turjman, Fadi
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton, FL : CRC Press, 2026.
Descriptionxv, 332 pages illustrations 24 cm
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

Physical mediumillustrations
SeriesInnovations in intelligent Internet of everything (IoE)
Contents Quantum computing in artificial intelligence / V. Shanmugavalli, A. S. Renugadevi, R. Jayavadivel, and Janani K -- Quantum computing transforming machine learning : an overview / Sivamangai NM, Naveenkumar R, Madhan Kishore N, Lingesh C M, Napolean A, and Umaamaheshvari Annamalai -- Quantum computing in machine learning / N. Sanjana, R. Immanual, J. David Rathnaraj, and G. Mahesh Gopal -- Harnessing quantum computing for predictive analysis : understanding the social media impact on stock market investment / Talla Shirisha and M. Rajyalaxmi -- Quantum-powered fraud detection : revolutionizing financial security / Koteswara Rao Veginati, Kafila, and Kudali Prasanthi -- Quantum computing in healthcare / S. V. K. R. Rajeswari and Govind Kumar Pandey -- Quantum computing in healthcare: applications and challenges / Naveenkumar R, N M Sivamangai, Nithish Gokul B, Saranya G, Indhumathi G, and Balasamy K -- Enhancing deep learning with quantum computing : its challenges, opportunities, and applications / I. Samuel Peter James, D. Magdalene Delighta Angeline, and T. Prabakaran -- Design and optimization of quantum arithmetic circuits for next-generation quantum systems / Yogeswari Palanisamy, Kathirvelu Murugan, G. B. Mohankumar, D. Ganeshkumar, Poornima K, and S Amsaveni -- Quantum key distribution : visualizing the foundations of future-proof secure communication / Naveenkumar R, N M Sivamangai, Lingesh C M, Saranya G, Indhumathi G, and N Vini Antony Grace -- Challenges and opportunities of quantum computing in medical imaging / Pratibha C. Kaladeep Yalagi, C. Nandagopal, M Vallikannu, K Vijayalakshmi, C Mariyammal, and R Jeevitha -- Quantum computing and industry transformation / Preetha V, Archana K K, Abinaya R, S. A. Amala Nirmal Doss, and Sundaram M K -- Next-generation quantum algorithms : trends, techniques, and applications / Deebanchakkarawarthi G, Kavitha N, Sivakumar Annamalai, and Mohamed Uvaze Ahamed Ayoobkhan -- Applications of deep learning technology for mobile and quantum computing / Fadi Al-Turjman and Ramiz Salama -- Effective quantum, artificial intelligence (AI), and cloud implementation / Fadi Al-Turjman and Ramiz Salama -- Quantum supremacy and its applications / Ramiz Salama and Fadi Al-Turjman.
Abstract "Quantum computing is a rapidly emerging technology that harnesses the laws of quantum mechanics to solve problems too complex for classical computers. It is a multidisciplinary field comprising aspects of computer science, physics, and mathematics that utilizes quantum mechanics to solve complex problems faster than on classical computers. It is a computational technology that uses the principles of quantum mechanics such as entanglement, superposition, and interference to process, store and manipulate large amounts of data and perform complex calculations for conventional computing systems and supercomputers to fathom. Quantum Computing: Research, Applications, and Advances provides a comprehensive overview of the foundational principles of quantum mechanics that underpin quantum computing. It explains such concepts as superposition, entanglement, and quantum gates to demystify the esoteric nature of quantum phenomena. It delves into the current state of quantum computing research, presenting an insightful analysis of the latest breakthroughs and technological advancements. From the race to achieve quantum supremacy to the development of scalable quantum hardware, the book offers a detailed exploration of the key players, their methodologies, and the challenges they face in pushing the boundaries of quantum computing capabilities. It explores the practical applications of quantum computing across various domains. From cryptography to optimization problems and drug discovery, the book also illustrates how quantum algorithms have the potential to outperform classical counterparts to open doors to new possibilities where traditional computing falls short. The book integrates theoretical concepts and practical applications. Highlights include: Quantum computing in machine learning Harnessing quantum computing for predictive analysis Quantum-powered financial fraud detection Enhancing deep learning with quantum computing Quantum computing in medical imaging"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2025049899
ISBN9781032958286 hardback
ISBN9781032960739 paperback
ISBNebook

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