quantum machine learning algorithms (98 Ergebnisse)

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Taschenbuch. Zustand: Neu. Neuware -This text covers both classical and quantum algorithm in machine learning domain. The first part mainly covers quantum algorithms and its hardware limitations. The layered photonic crystal architecture simulated for testing hardware constraints. Second part covers Expert Systems and tractable machine learning. It also covers machine learning algorithms along with data integration at scale and Symbol Algebra.Books on Demand GmbH, Überseering 33, 22297 Hamburg 232 pp. Englisch.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 293 | Sprache: Englisch | Produktart: Bücher.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 335 | Sprache: Englisch | Produktart: Bücher.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum Machine Learning Algorithms represent a paradigm shift in the field of artificial intelligence. By harnessing the power of quantum computing, these algorithms can solve complex problems with unprecedented speed and accuracy. In 'Unveiling the Secrets of Quantum Machine Learning Algorithms', you'll discover the underlying principles and mechanics that govern this cutting-edge technology. From the basics of quantum computing to the applications of quantum machine learning, this book provides a comprehensive overview of the field. You'll learn how to design and implement quantum machine learning algorithms, and how to integrate them with classical machine learning techniques. Whether you're a researcher, developer, or entrepreneur, this book will equip you with the knowledge and skills necessary to harness the full potential of quantum machine learning algorithms. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum algorithms have the potential to revolutionize machine learning by enabling faster, more accurate, and more efficient processing of complex data. Advancing Quantum Algorithms for Machine Learning presents a comprehensive guide to harnessing the power of quantum algorithms in machine learning, including techniques for quantum circuit design, quantum simulation, and machine learning theory. By exploring the latest research and applications, readers will learn to create quantum algorithms that improve machine learning performance, reduce computational costs, and enhance overall system efficiency. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum Machine Learning - Algorithms for Complex Pattern Recognition presents a groundbreaking exploration of the intersection between quantum computing and machine learning. By leveraging the unique capabilities of quantum computing, this book introduces a new class of algorithms designed to tackle complex pattern recognition problems with unprecedented efficiency and accuracy. The author provides a thorough examination of the theoretical foundations that underpin quantum machine learning, including the principles of quantum parallelism and the role of entanglement in pattern recognition. Through a series of case studies and numerical simulations, the book demonstrates the remarkable potential of quantum machine learning algorithms for applications in image recognition, natural language processing, and other fields. As the field of machine learning continues to evolve, Quantum Machine Learning - Algorithms for Complex Pattern Recognition serves as a vital resource for researchers and practitioners seeking to harness the power of quantum computing for complex pattern recognition. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum machine learning has long been a source of fascination and uncertainty in the financial space, but its underlying drivers have only recently begun to gain attention. Cracking the Code of Quantum Machine Learning Algorithms provides a comprehensive examination of the complex dynamics at play in these algorithms, leveraging advanced econometric techniques and machine learning algorithms to uncover the underlying drivers of market reactions. By shedding light on the intricate relationships between quantum machine learning, market sentiment, and price volatility, this book offers a unique perspective on the challenges and opportunities facing investors in the financial space. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum-Inspired Algorithms for Machine Learning Acceleration presents a groundbreaking exploration of the intersection of quantum computing and machine learning. By leveraging the principles of quantum computing, developers can create more efficient, scalable, and accurate machine learning algorithms. This book explores the latest techniques for implementing quantum-inspired algorithms in machine learning, including the use of quantum annealing and quantum circuit learning. Through a series of case studies and real-world examples, readers will learn how to design and implement quantum-inspired algorithms, including the use of strategies for accelerating machine learning training and inference. By harnessing the power of quantum-inspired algorithms, developers can create more effective, efficient, and responsive machine learning systems. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Advancing Quantum Algorithms for Machine Learning investigates the intersection of quantum computing and artificial intelligence. This book explores how quantum algorithms can accelerate data processing, optimize learning models, and solve complex problems beyond classical capabilities. It covers foundational principles, algorithm design, and potential applications in pattern recognition, data analysis, and predictive modeling. The narrative underscores the transformative impact quantum computing could have on machine learning, opening new horizons for research and practical implementation. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Protein folding is a complex problem that has puzzled scientists for decades. Quantum Machine Learning Algorithms for Protein Folding offers a cutting-edge exploration of the application of quantum machine learning algorithms to protein folding. By examining the theoretical foundations of quantum machine learning and its practical implementation in protein folding, this book provides a comprehensive framework for developing novel algorithms and approaches to tackle this challenging problem. From the quantum mechanics of protein folding to the machine learning algorithms used to predict protein structures, this book equips readers with the knowledge and expertise necessary to push the boundaries of protein folding research. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum Algorithms Behind Machine Learning Breakthroughs investigates how quantum computing accelerates and enhances machine learning processes. This book details various quantum algorithms that have the potential to revolutionize data analysis, pattern recognition, and artificial intelligence. It emphasizes the synergy between quantum mechanics and machine learning, illustrating how quantum algorithms can solve complex problems more efficiently. The narrative underscores the transformative impact of quantum computing on AI development, positioning it as a pivotal advancement in computational sciences. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. 'Enhancing Machine Learning Algorithms with Quantum Computing' explores the synergy between quantum mechanics and artificial intelligence. It discusses how quantum algorithms can accelerate data processing, optimize complex models, and solve problems beyond classical computing capabilities. The book highlights recent breakthroughs in quantum machine learning, emphasizing potential applications in cryptography, data analysis, and pattern recognition. It provides a forward-looking view on how quantum-enhanced algorithms could revolutionize computational intelligence and data science. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. The intersection of quantum computing and machine learning has given rise to a new era of computational power and efficiency. This book explores the quantum algorithms that are boosting machine learning capabilities, highlighting the potential of quantum computing to accelerate training times, improve model accuracy, and reduce computational costs. By examining the intersection of quantum mechanics, linear algebra, and machine learning, the book reveals the potential of quantum algorithms to solve complex problems in areas as diverse as image recognition, natural language processing, and predictive analytics. From quantum circuit learning to quantum support vector machines, the book showcases the diverse applications of quantum algorithms in machine learning. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Mastering Quantum Principles in Ancient Machine Learning Algorithms explores the intriguing convergence of quantum mechanics and early computational methods. It investigates how foundational quantum concepts can be applied to optimize historical machine learning algorithms, revealing new efficiencies and capabilities. The book offers a detailed analysis of quantum principles and their relevance to classical algorithms, fostering a deeper understanding of computational evolution. Its insights aim to bridge the gap between cutting-edge quantum science and traditional machine learning, opening avenues for innovative algorithmic development rooted in quantum theory. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum Learning - Machine Learning Algorithms Powered by Qubits investigates the intersection of quantum computing and machine learning, focusing on how qubits can enhance algorithmic performance. This volume discusses the development of quantum algorithms that accelerate data analysis, pattern recognition, and decision-making processes. It emphasizes the potential of qubit-based models to outperform classical counterparts in various learning tasks. The book also explores the theoretical foundations of quantum-enhanced learning, practical implementation strategies, and the implications for artificial intelligence systems that leverage quantum computational power. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. This innovative work, 'Quantum Machine Learning - Beyond Classical Algorithms', offers a comprehensive exploration of the rapidly evolving field of quantum machine learning and its potential applications in artificial intelligence. By examining the fundamental principles governing quantum machine learning and its behavior in complex systems, the book highlights the potential for these approaches to enable the development of more efficient and effective machine learning algorithms. The author presents a detailed analysis of the theoretical frameworks and experimental approaches used to implement quantum machine learning, highlighting the potential for these strategies to transform the field of artificial intelligence. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. The intersection of quantum computing and machine learning has the potential to revolutionize the way we approach complex problems, enabling machines to learn and adapt in ways that were previously thought impossible. This book provides a comprehensive overview of the latest advancements in quantum machine learning, exploring the theoretical foundations and practical applications of this emerging field. From quantum neural networks to quantum support vector machines, the book covers the full spectrum of quantum machine learning algorithms, providing a detailed analysis of their strengths and limitations. By understanding the intricacies of quantum machine learning, readers will be able to develop and implement effective solutions, driving business success and competitiveness in a rapidly changing market. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum algorithms have the potential to revolutionize machine learning efficiency, enabling faster and more accurate processing of complex data. 'Quantum Algorithms in Machine Learning Efficiency' presents the latest advancements in quantum algorithms for machine learning, from quantum neural networks to quantum k-means clustering. By examining the potential for quantum algorithms to transform machine learning, this book reveals the exciting possibilities for innovation and growth in the field. Whether you're a machine learning expert, industry analyst, or simply interested in the future of AI, 'Quantum Algorithms in Machine Learning Efficiency' is a must-read. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. The Art of Quantum Machine Learning Algorithms offers an in-depth exploration of the intersection between quantum computing and machine learning. This book discusses algorithmic frameworks, quantum data processing, and potential applications in various fields. It emphasizes the transformative potential of quantum algorithms to solve complex problems more efficiently than classical counterparts. The narrative underscores the innovative nature of quantum machine learning as a frontier of computational science. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. 'Quantum Algorithms Bridging Physics and Machine Learning' presents a compelling exploration of how quantum computing principles intersect with machine learning techniques. This book highlights the transformative potential of quantum algorithms in solving complex problems that are beyond the reach of classical computing. It discusses the fundamental concepts of quantum mechanics and their application to algorithm development, illustrating how these innovations can revolutionize data processing and analysis. The work stands as a vital reference for understanding the synergy between quantum physics and artificial intelligence, paving the way for breakthroughs in computational sciences. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum Machine Learning - Training Algorithms on Quantum Hardware presents a groundbreaking exploration of the potential of quantum machine learning to train algorithms on quantum hardware. This book masterfully examines the application of quantum machine learning to the solution of complex problems, revealing the hidden patterns and relationships that govern quantum state behavior. By examining the interplay between quantum machine learning, quantum hardware, and machine learning algorithms, the author provides a comprehensive understanding of the potential applications of quantum machine learning in fields such as artificial intelligence and data analytics. Through a series of in-depth case studies, the book demonstrates the potential for quantum machine learning to revolutionize problem-solving and decision-making. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Cognitive Algorithms in Quantum Machine Learning probes the fascinating realm of quantum machine learning, where the principles of quantum mechanics govern the behavior of complex systems and the emergence of intelligent behavior. This book explores the intricate mechanisms of cognitive algorithms, from the quantum mechanics of information processing to the complex relationships between quantum systems and machine learning. By examining the cognitive algorithms of quantum machine learning, researchers can develop new technologies and strategies for solving complex problems, from optimization and control to pattern recognition and decision-making. Through a combination of theoretical and experimental approaches, Cognitive Algorithms in Quantum Machine Learning reveals the hidden patterns and processes that govern quantum machine learning, shedding light on the intricate relationships between quantum systems, cognition, and intelligent behavior. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum Control Using Machine Learning Algorithms presents a comprehensive examination of the application of machine learning algorithms in quantum control. By leveraging the power of machine learning, researchers can create more efficient and adaptive quantum control systems. This book provides an in-depth examination of the theoretical foundations and experimental implementations of machine learning-based quantum control, including the use of neural networks and reinforcement learning. With its focus on the latest advancements and future prospects, Quantum Control Using Machine Learning Algorithms is an essential resource for scientists seeking to improve the performance and efficiency of quantum systems. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Unlock the potential of quantum computing with Quantum Machine Learning - Algorithms That Learn Beyond Classical Limits, a groundbreaking book that explores the latest advancements in quantum machine learning. By examining the intricate relationships between quantum mechanics, machine learning, and artificial intelligence, the authors present a comprehensive framework for understanding the principles and applications of quantum machine learning. From the role of quantum computing in machine learning to the impact of quantum machine learning on artificial intelligence, this authoritative book provides a nuanced understanding of the scientific and technological factors that influence the development of more powerful machine learning algorithms. With its in-depth analysis and practical insights, Quantum Machine Learning - Algorithms That Learn Beyond Classical Limits is an essential resource for researchers, scientists, and anyone seeking to stay at the forefront of quantum computing and machine learning. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum-Inspired Algorithms for Machine Learning in Paleoenvironmental Studies presents a groundbreaking exploration of the application of quantum-inspired algorithms to machine learning in paleoenvironmental studies. This book examines the potential of these novel algorithms to improve our understanding of ancient environments and ecosystems, highlighting their ability to analyze complex data sets and identify patterns that may have gone unnoticed. By exploring the intersection of quantum computing and paleoenvironmental research, Quantum-Inspired Algorithms for Machine Learning in Paleoenvironmental Studies offers a fresh perspective on the potential of machine learning to inform our understanding of the past. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum Machine Learning Algorithms for R&D Innovation presents a groundbreaking exploration of the potential of quantum machine learning algorithms in accelerating R&D innovation. This book examines the latest advancements in quantum computing, from the development of quantum algorithms to the implementation of quantum-inspired machine learning techniques. By shedding light on the scientific and technical considerations involved in quantum machine learning, this book offers a comprehensive understanding of the possibilities and challenges associated with this emerging field. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.