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Topics in Artificial Intelligence Applied to Industry 4.0
book

Topics in Artificial Intelligence Applied to Industry 4.0

by Mahmoud Ragab AL-Refaey, Amit Kumar Tyagi, Abdullah Saad AL-Malaise AL-Ghamdi, Swetta Kukreja
April 2024
Intermediate to advanced content levelIntermediate to advanced
320 pages
14h 53m
English
Wiley
Content preview from Topics in Artificial Intelligence Applied to Industry 4.0

11Cybersecurity Issues and Challenges in Quantum Computing

R. Rahul1, S. Geetha1, Soniya Priyatharsini1, K. Mehata1, Ts. Sundaresan Perumal2, N. Ethiraj1, and S. Sendilvelan1

1 Dr. M.G.R. Educational and Research Institute, Chennai, Tamil Nadu, India

2 Universiti Sains Islam Malaysia, Bandar Baru Nilai, Negeri Sembilan, Malaysia

11.1 Introduction

The advent of quantum computing has brought forth a new era of technological advancements and possibilities [1, 2]. With the potential to solve complex problems at an unprecedented speed, quantum computers hold tremendous promise for fields ranging from drug discovery to financial modeling. However, as with any groundbreaking technology, quantum computing also poses significant challenges and concerns, particularly in the realm of cybersecurity. This chapter explores the issues and challenges that arise in the context of cybersecurity as a result of quantum computing. The world of computing has witnessed remarkable advancements over the years, enabling us to solve increasingly complex problems and process vast amounts of data. However, as we approach the limits of classical computing, a new paradigm is emerging that promises to unlock unprecedented computational power. This paradigm is known as quantum computing [1]. Quantum computing represents a revolutionary shift in the way we approach computation by harnessing the principles of quantum mechanics. Classical computers rely on bits, in general, the binary units of data that can exist ...

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Publisher Resources

ISBN: 9781394216116Purchase Link