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Present and Future QIS and QC

Alice Flarend, Bob Hilborn

Published Apr 15, 2022• 0 citations
Publisher

Abstract

Abstract Alice and Bob describe currently available physical systems to be used as quantum qubits. While the quantitative physics is beyond the scope of this book, they give a brief qualitative explanation of the physics of those qubits. The difference between QC and QIS is briefly delineated, including the possibility of a quantum internet. They also explain a variety of other QC and QIS issues including programming quantum computers, future qubits, new QC architectures, machine learning, and AI. They also raise several ethical issues facing QC and QIS and point to information about careers in QC and QIS.

DOI
10.1093/oso/9780192857972.003.0016

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Abstract We meet our hosts, Alice and Bob, and an undergraduate student, Cardy. Alice and Bob tell Cardy why QC is “the next big thing.” They give a brief introduction to quantum information science (QIS) and its relation to quantum computing (QC). They also provide an overview of the rest of the book and how the book should be used to come to grips with quantum ideas that allow QCs to do things unimaginable for traditional computers. Alice and Bob emphasize that with perseverance everyone can understand the fundamentals of QC and how quantum physics enables entirely new ways of thinking about computational algorithms. They explain the book’s overarching narrative: quantum states, quantum entanglement, and quantum measurements provide the essential resources for QC and QIS.

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Abstract Alice and Bob describe currently available physical systems to be used as quantum qubits. While the quantitative physics is beyond the scope of this book, they give a brief qualitative explanation of the physics of those qubits. The difference between QC and QIS is briefly delineated, including the possibility of a quantum internet. They also explain a variety of other QC and QIS issues including programming quantum computers, future qubits, new QC architectures, machine learning, and AI. They also raise several ethical issues facing QC and QIS and point to information about careers in QC and QIS.
Abstract We meet our hosts, Alice and Bob, and an undergraduate student, Cardy. Alice and Bob tell Cardy why QC is “the next big thing.” They give a brief introduction to quantum information science (QIS) and its relation to quantum computing (QC). They also provide an overview of the rest of the book and how the book should be used to come to grips with quantum ideas that allow QCs to do things unimaginable for traditional computers. Alice and Bob emphasize that with perseverance everyone can understand the fundamentals of QC and how quantum physics enables entirely new ways of thinking about computational algorithms. They explain the book’s overarching narrative: quantum states, quantum entanglement, and quantum measurements provide the essential resources for QC and QIS.
Abstract Quantum Computing: From Alice to Bob provides a distinctive and accessible introduction to the rapidly growing fields of quantum information science (QIS) and quantum computing (QC). The book is designed for undergraduate students and upper-level secondary school students with little or no background in physics, computer science, or mathematics beyond secondary school algebra and trigonometry. While broadly accessible, the book provides a solid conceptual and formal understanding of quantum states and entanglement—the key ingredients in quantum computing. The authors give detailed treatments of many of the classic quantum algorithms that demonstrate how and when QC has an advantage over classical computers. The book provides a solid explanation of the physics of QC and QIS and then weds that knowledge to the mathematics of QC algorithms and how those algorithms deploy the principles of quantum physics to solve the problem. This book connects the physics concepts, the computer science vocabulary, and the mathematics, providing a complete picture of how QIS and QC work. The authors give multiple representations of the concept—textual, graphical, and symbolic (state vectors, matrices, and Dirac notation)—which are the lingua franca of QIS and QC. Those multiple representations allow the readers to develop a broader and deeper understanding of the fundamental concepts and their applications. In addition, the book provides examples of recent experimental demonstrations of quantum teleportation and the applications of quantum computational chemistry. The last chapter connects to the growing commercial world of QC and QIS and provides recommendations for further study.
This book explores quantum computing as a transformative technology and its applications in cryptography, teleportation, IoT, AI, Blockchain, and the futurist concept of quantum internet. It explains the fundamentals of quantum computing and how it’s different from classic computing. The challenges facing quantum computing will be discussed, and the types of quantum computing will be introduced and explained. The concept and types of Qubit and its implications on quantum computing applications will be explained.
Quantum Information Systems (QIS) have emerged as a transformative paradigm, integrating the principles of quantum mechanics with advanced computational and communication technologies to address complex problems beyond the capabilities of classical systems. This review provides a comprehensive synthesis of current developments, beginning with the foundational principles that define QIS, including its theoretical underpinnings, quantum state representations, and computational frameworks. It then examines advances in quantum computing for QIS, with a focus on hardware architectures, the design and optimization of core algorithms, and the computational advantages over classical approaches. The discussion extends to quantum machine learning for QIS, exploring hybrid quantum–classical learning models, quantum data encoding techniques, and optimization strategies. Finally, it surveys diverse application domains, such as finance, industrial information integration, energy systems, healthcare, and intelligent transportation. In addition, the paper highlights pressing technological, data-centric, algorithmic, and ecosystem-level challenges, and discusses future trajectories shaped by innovations such as quantum blockchain, quantum artificial intelligence, and decentralized QIS. Through a structured and integrative analysis, this work aims to provide a roadmap for researchers and practitioners navigating the rapidly evolving QIS landscape.
Quantum Computing represents a paradigm shift in computation, leveraging the principles of quantum mechanics to solve problems intractable for classical computers. This book provides a comprehensive exploration of quantum computing, encompassing its foundational concepts, architecture, algorithms, programming techniques, and real-world applications. Beginning with an overview and historical evolution, it delves into the fundamental differences between classical and quantum computing, highlighting key quantum mechanical phenomena such as superposition, entanglement, and interference. The book further examines quantum states, qubits, and gates, elucidating their roles in quantum computation. The architecture of quantum systems, including superconducting qubits, trapped ions, and photonic qubits, is analyzed alongside quantum circuits, hardware challenges, and error correction mechanisms. Core quantum algorithms, including Shor’s algorithm for factorization and Grover’s algorithm for search, are discussed with practical examples. The book also emphasizes quantum programming, featuring tools like Qiskit, Cirq, and PyQuil, and explores challenges in quantum simulation and circuit development. Applications in cryptography, artificial intelligence, drug discovery, and optimization are detailed, underscoring quantum computing’s transformative potential. The book concludes with an examination of challenges such as scalability, noise, and ethical concerns, while providing insights into future directions, including hardware advancements, emerging algorithms, and integration with classical systems. It serves as an essential resource for students, researchers, and professionals aiming to understand and contribute to the quantum revolution. Keywords: Quantum computing, classical computing, quantum mechanics, qubits, quantum gates, superposition, entanglement, quantum algorithms, Shor’s algorithm, Grover’s algorithm, quantum programming, Qiskit, Cirq, quantum circuits, quantum hardware, error correction, cryptography, artificial intelligence, drug discovery, optimization, scalability, quantum noise, ethical implications, future directions