Explorations in Quantum Computing

Philip L. Roe

Navya Sree Anagani, Rajesh Doriya, Chandrashekar Jatoth

In the rapidly evolving realm of digital technology, quantum computing (QC) represents a groundbreaking advancement, fundamentally transforming the approach to computation and communication. By leveraging quantum mechanics principles—specifically superposition and entanglement—QC achieves computational power that surpasses classical computers. This chapter explores the core concepts of QC, including quantum circuits, gates, and algorithms, and demonstrates how these principles enable unprecedented problem-solving efficiency. This chapter also discusses quantum cryptography, a key application of quantum technologies (QT), which secures communication channels through Quantum Key Distribution (QKD). As quantum computers evolve, the chapter addresses the development of post-quantum cryptographic algorithms designed to safeguard data against quantum attacks, ensuring that future encryption methods remain robust. Offering an in-depth exploration of these transformative technologies, this chapter underscores their critical role in shaping the future of secure digital communication.

Tarun Sanghi, Jha, RM

This book explores the essential role of quantum computing and artificial intelligence in advancing healthcare. This comprehensive guide explores the practical applications and real-world use cases, exploring their transformative potential across various sectors. It covers nanodiagnostic tools known for accuracy, along with advanced imaging techniques. Through real-world examples, it offers valuable insights on nanomaterials to improve medical solutions. This book is divided into three sections. The first section examines the fundamentals of quantum computing and its practical applications. The second section explores how quantum computing offers a myriad of opportunities to various industries, transitions between classical and quantum networks, and post-quantum cryptography. The third section further explores the exciting potential of quantum machine learning for Industry 4.0, as well as the applications of quantum computing and AI applications in the emerging Industry 5.0 landscape.

Yousu Chen, Samuel Stein, Ang Li +1 more

With the global trend of pursuing clean energy and decarbonization, power systems have been evolving in a fast pace that we have never seen in the history of electrifi-cation. Power system researchers have been leveraging classical high-performance computing (HPC) techniques to increase the computational speed for better decision support. However, there are intractable problems that cannot be handled by classical HPC. Quantum computing (QC) as an emerging technology has been well recognized and holds promises to significantly revolutionize computing for complex power system applications. This paper introduces the fundamentals of quantum computing, briefly summarizes the existing quantum computing applications in literature, and explains the need of exploring quantum computing potentials for power systems. A quantum neural network application in power system contingency analysis is presented as an example to show the potential of quantum computing. More importantly, this paper emphasizes the need for co-existence of classical HPC and quantum computing and recommends three quantum computing research directions in power systems: quantum-inspired algorithm for large-scale optimization, variational quantum algorithms (VQA) translation, and power system data qubitization.

Myo Myo Aung