Название: Quantum Computing: Innovations and Applications in Modern Research
Автор: Bruno Carpentieri
Издательство: ITexLi
Год: 2024
Страниц: 105
Язык: английский
Формат: pdf
Размер: 10.1 MB

This volume explores the potential of quantum technologies. The book features insightful perspectives on quantum mechanics, computational paradigms, and practical applications, and it explores key concepts such as quantum entanglement, adiabatic computing, and quantum algorithms. Readers will discover how quantum systems are revolutionizing fields like cryptography, materials science, and artificial intelligence, promising faster computations and significant advances.

Through a blend of theoretical exploration and practical insights, this book navigates the complexities of quantum communication, error correction, and the development of scalable quantum architectures. Ideal for researchers, students, and enthusiasts alike, it offers a gateway to understanding the current capabilities and future directions of quantum computing, demonstrating its potential for transforming technical developments and pushing scientific frontiers.

In the evolution of Computer Science, from clock speed races to parallel computing and petascale architectures, quantum computing emerges as a transformative technology, representing a revolutionary departure from classical paradigms. Unlike classical systems that use bits, quantum computers use qubits, which can represent and process information using quantum mechanical phenomena like superposition and entanglement. This allows quantum computers to perform certain computations exponentially more efficiently than classical machines. For example, they can factor large numbers, simulate quantum systems, and optimize complex problems far faster than classical computers. Quantum computing shows promise in fields such as cryptography, drug discovery, materials science, and optimization. Moreover, in optimization and Artificial Intelligence (AI), quantum algorithms offer faster solutions to combinatorial optimization problems and have the potential to enhance machine learning capabilities, enabling more efficient data analysis and decision-making in critical areas like finance and health care. In scientific research, quantum simulations could revolutionize material science by enabling detailed modeling of molecular interactions, leading to discoveries in new materials and pharmaceuticals. Quantum computers can also deepen our understanding of quantum systems and simulate complex phenomena like high-energy physics simulations more efficiently. Overall, while exascale computing systems are indispensable for managing vast datasets, running large-scale simulations, and executing complex AI models, quantum computers complement this by providing efficient solutions to specialized tasks within broader computational workflows.

Contents:
1. Transforming Computing – From Classical to Quantum Paradigms
2. Quantum Communication Protocols: From Theory to Implementation in the Quantum Computer
3. Quantification of Entanglement
4. Mechanizing Quantum Error Correction through Entangled Quantum Machine Learning Techniques
5. A Tour of Adiabatic Quantum Computing
6. Practical Applications of Quantum Computing








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