<!--HTML--> Abstract In this basic introduction to quantum computing, the underlying mathematical concepts will be presented together with quantum mechanical phenoma of interest such as superposition and entanglement in order to enable the understanding of basic quantum circuits. Bio Alice is an aerospace engineer by background. After working 5 years in the space and defence industry, she started her quantum journey as a PhD student in Quantum Computing at CERN. She is working on quantum algorithms for dynamical systems, including ODE solving and ML based time series analysis.
<!--HTML--> Abstract In this basic introduction to quantum computing, the underlying mathematical concepts will be presented together with quantum mechanical phenoma of interest such as superposition and entanglement in order to enable the understanding of basic quantum circuits. Bio Alice is an aerospace engineer by background. After working 5 years in the space and defence industry, she started her quantum journey as a PhD student in Quantum Computing at CERN. She is working on quantum algorithms for dynamical systems, including ODE solving and ML based time series analysis.
<!--HTML--> Abstract In this basic introduction to quantum computing, the underlying mathematical concepts will be presented together with quantum mechanical phenoma of interest such as superposition and entanglement in order to enable the understanding of basic quantum circuits. Bio Ema is a computer scientist pursuing PhD in physics at CERN and Universitat Autonoma de Barcelona, specializing in quantum and quantum-inspired algorithms for anomaly detection with applications in high-energy physics and medical imaging.
<!--HTML--> Abstract This hands-on session focuses on understanding the fundamental concepts of quantum computing, which are introduced during the presentation, such as superposition and entanglement, as well as one of the most well-known quantum algorithms, Grover's algorithm. The students will explore the practical usage of quantum computing with one of the most commonly used quantum computing languages, Qiskit, and learn how qubits form the foundation of quantum computation. By the end of the session, they should be able to code the quantum algorithm on their own and run it on different quantum simulators. Bio Graduated Master in Physics at EPFL in Switzerland, Su Yeon undertook her research on Quantum Generative Adversarial Networks to simulate High-Energy detectors. She is now working as a PhD student at EPFL and CERN to investigate quantum algorithms, especially focused on quantum machine learning for image classification and generation.
This book is intended to serve as an approachable starting point for scholars, students, and enthusiasts who are keen to learn more about this cutting-edge field. Although quantum computing is based on complex mathematics and abstract physics, its fundamental concepts such as superposition, entanglement, and quantum gates, can be easily comprehended. This study attempts to close the gap between curiosity and comprehension by gradually and clearly presenting these concepts. Chapter I, II, III was prepared by Mr.P.Sathish. This chapter clearly focused on Introduction to Quantum Computing, History and Evolution of Quantum Computing, Classical vs Quantum Computing. Chapter IV, V, VI, VII was prepared by Mr.L.Dinesh. This Chapter introduces the concept of Quantum Mechanics Fundamentals, Qubits: The Building Blocks of Quantum Computing, Quantum Gates and Circuits and Quantum Algorithms. Chapter VIII, IX, X was prepared by Mr.S.Alaguganesan. This chapter clearly focused on Domain-Specific Quantum Algorithms, Quantum Hardware Technologies and Quantum Error Correction (QEC). Chapter XI, XII, XIII, XIV was prepared by Mr.P.Muthamil Selavan. This Chapter introduces the concept of Quantum Cryptography, Applications of Quantum Computing, Challenges in Quantum Computing and Future of Quantum Computing.
Quantum Computing represents a transformative shift in the way we process information. Rooted in the principles of quantum mechanics—superposition, entanglement, and interference—it promises computational capabilities far beyond the reach of classical machines. Problems once considered intractable, such as large-scale optimization, cryptographic analysis, and complex system simulations, now appear within conceivable reach. This book is designed to provide a clear and structured introduction to the foundations and frontiers of quantum computing. It bridges the gap between theory and practice, guiding readers from the fundamental concepts of qubits and quantum gates to advanced topics such as quantum algorithms, error correction, and emerging quantum architectures. Mathematical rigor is balanced with intuitive explanations, ensuring accessibility for students, researchers, and professionals from diverse backgrounds in science, engineering, and computing.
Quantum computing represents a fundamentally different computational paradigm that harnesses quantum mechanical phenomena to process information in ways that classical computers cannot efficiently replicate. This paper provides an accessible introduction to quantum computing for IT professionals and developers seeking to understand the technology's principles, current state, and practical implications. The paper covers the foundational concepts of qubits, superposition, entanglement, and quantum gates, followed by an examination of prominent quantum algorithms and their applications. A comparative analysis of current quantum hardware approaches, including superconducting circuits, trapped ions, and photonic systems, contextualizes the engineering challenges that remain. The paper also addresses the implications of quantum computing for cryptography and outlines the emerging field of post-quantum cryptography. Market analysis and industry investment patterns suggest that while general-purpose quantum advantage remains years away, specific domain applications in chemistry, optimization, and financial modeling are approaching practical viability.