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Examining Quantum Algorithms For Quantum Image Processing


Examining Quantum Algorithms For Quantum Image Processing
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Examining Quantum Algorithms For Quantum Image Processing


Examining Quantum Algorithms For Quantum Image Processing
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Author : Li, HaiSheng
language : en
Publisher: IGI Global
Release Date : 2020-09-25

Examining Quantum Algorithms For Quantum Image Processing written by Li, HaiSheng and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-25 with Computers categories.


An emerging interdisciplinary field of study in the realm of academia has been quantum computing and its various applications. The rapid rate of progress of this advancing technology as well as its multi-faceted nature has created a vast amount of potential research material for professionals and students in numerous disciplines. Its specific ability to improve upon traditional algorithms for image processing is seizing the attention of researchers in this field, as there remains a lack of exploration into this precise area. Examining Quantum Algorithms for Quantum Image Processing is an essential reference that provides research on quantum Fourier transform, quantum wavelet transform, and quantum wavelet packet transform as tool algorithms in image processing and quantum computing. It provides a comprehensive look into quantum image algorithms to establish frameworks of quantum image processing. While highlighting topics including geometric transformation, quantum compression ratio, and storage circuits, this book is ideally designed for researchers, scientists, developers, academicians, programmers, practitioners, engineers, and upper graduate students.



Exploring The Fusion Of Quantum Computing And Machine Learning


Exploring The Fusion Of Quantum Computing And Machine Learning
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Author : R.I., Minu
language : en
Publisher: IGI Global
Release Date : 2025-04-17

Exploring The Fusion Of Quantum Computing And Machine Learning written by R.I., Minu and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Computers categories.


The fusion of quantum computing and machine learning holds the potential to revolutionize how we solve complex problems. Quantum computing, with its ability to process vast amounts of data through the principles of quantum mechanics, could accelerate machine learning algorithms, enabling faster and more efficient pattern recognition, optimization, and decision-making. This convergence helps overcome limitations faced by classical computing in fields like artificial intelligence, drug discovery, cryptography, and more. As researchers continue to explore this fusion, the potential applications of quantum-enhanced machine learning increase, opening new possibilities for innovation and problem-solving across industries. Exploring the Fusion of Quantum Computing and Machine Learning explores the revolutionary fusion of quantum computing and machine learning. It examines practical applications, demonstrating how the integration of quantum computing and machine learning algorithms can reveal new solutions for complex problems, paving the way for advancements in various fields. This book covers topics such as neural networks, online marketing, and quantum systems, and is a useful resource for computer engineers, energy scientists, marketers, business owners, medical professionals, academicians, and researchers.



Principles And Applications Of Quantum Computing Using Essential Math


Principles And Applications Of Quantum Computing Using Essential Math
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Author : Daniel, A.
language : en
Publisher: IGI Global
Release Date : 2023-09-12

Principles And Applications Of Quantum Computing Using Essential Math written by Daniel, A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-12 with Mathematics categories.


In the swiftly evolving realm of technology, the challenge of classical computing's constraints in handling intricate problems has become pronounced. While classical computers excel in many areas, they struggle with complex issues in cryptography, optimization, and molecular simulation. Addressing these escalating challenges requires a disruptive solution to push the boundaries of computation and innovation. Principles and Applications of Quantum Computing Using Essential Math, authored by A. Daniel, M. Arvindhan, Kiranmai Bellam, and N. Krishnaraj. This guide pioneers the transformative potential of quantum computing by seamlessly blending rigorous mathematics with quantum theory. It equips scholars, researchers, and aspiring technologists with insights to grasp and harness quantum computing's capabilities. By delving into quantum gates, algorithms, and error correction techniques, the book demystifies quantum computing, inviting exploration of quantum machine learning, cryptography, and the dynamic interplay between classical and quantum computing. As the quantum landscape expands, this book acts as a vital companion, navigating readers through the converging realms of industry, academia, and innovation. Principles and Applications of Quantum Computing Using Essential Math arrives as a timely answer to the limitations of classical computing, providing scholars with an essential roadmap to navigate the quantum technology landscape. With its clear explanations, practical applications, and forward-looking perspectives, this book serves as an indispensable tool for unraveling quantum computing's mysteries and driving innovation into uncharted domains.



Quantum Image Processing In Practice


Quantum Image Processing In Practice
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Author : Artyom M. Grigoryan
language : en
Publisher: John Wiley & Sons
Release Date : 2025-04-01

Quantum Image Processing In Practice written by Artyom M. Grigoryan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-01 with Computers categories.


Comprehensive resource addressing the need for a quantum image processing machine learning model that can outperform classical neural networks Quantum Image Processing in Practice explores the transformative potential of quantum color image processing across various domains, including biomedicine, entertainment, economics, and industry. The rapid growth of image data, especially in facial recognition and autonomous vehicles, demands more efficient processing techniques. Quantum computing promises to accelerate digital image processing (DIP) to meet this demand. This book covers the role of quantum image processing (QIP) in quantum information processing, including mathematical foundations, quantum operations, image processing using quantum filters, quantum image representation, and quantum neural networks. It aims to inspire practical applications and foster innovation in this promising field. Topics include: Qubits and Quantum Logic Gates: Introduces qubits, the fundamental data unit in quantum computing, and their manipulation using quantum logic gates like Pauli matrices, rotations, the CNOT gate, and Hadamard matrices. The concept of entanglement, where qubits become interconnected, is also explored, highlighting its importance for applications like quantum teleportation and cryptography. Two and Multiple Qubit Systems: Demonstrates the importance of using two qubits to process color images, enabling image enhancement, noise reduction, edge detection, and feature extraction. Covers the tensor product, Kronecker sum, SWAP gate, and local and controlled gates. Extends to multi-qubit superpositions, exploring local and control gates for three qubits, such as the Toffoli and Fredkin gates, and describes the measurement of superpositions using projection operators. Transforms and Quantum Image Representations: Covers the Hadamard, Fourier, and Heap transforms and their circuits in quantum computation, highlighting their applications in signal and image processing. Introduces the quantum signal-induced heap transform for image enhancement, classification, compression, and filtration. Explores quantum representations and operations for images using the RGB, XYZ, CMY, HSI, and HSV color models, providing numerous examples. Fourier Transform Qubit Representation: Introduces a new model of quantum image representation, the Fourier transform qubit representation. Describes the algorithm and circuit for calculating the 2-D quantum Fourier transform, enabling advancements in quantum imaging techniques. New Operations and Hypercomplex Algebra: Presents new operations on qubits and quantum representations, including multiplication, division, and inverse operations. Explores hypercomplex algebra, specifically quaternion algebra, for its potential in color image processing. Quantum Neural Networks (QNNs): Discusses QNNs and their circuit implementation as advancements in machine learning driven by quantum mechanics. Summarizes various applications of QNNs and current trends and future developments in this rapidly evolving field. The book also addresses challenges and opportunities in QIP research, aiming to inspire practical applications and innovation. It is a valuable resource for researchers, students, and professionals interested in the intersection of quantum computing and color image processing applications, as well as those in visual communications, multimedia systems, computer vision, entertainment, and biomedical applications.



Quantum Image Processing


Quantum Image Processing
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Author : Fei Yan
language : en
Publisher: Springer Nature
Release Date : 2020-01-03

Quantum Image Processing written by Fei Yan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-03 with Computers categories.


This book provides a comprehensive introduction to quantum image processing, which focuses on extending conventional image processing tasks to the quantum computing frameworks. It summarizes the available quantum image representations and their operations, reviews the possible quantum image applications and their implementation, and discusses the open questions and future development trends. It offers a valuable reference resource for graduate students and researchers interested in this emerging interdisciplinary field.



Integration Of Ai Quantum Computing And Semiconductor Technology


Integration Of Ai Quantum Computing And Semiconductor Technology
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Author : Mishra, Brojo Kishore
language : en
Publisher: IGI Global
Release Date : 2024-10-29

Integration Of Ai Quantum Computing And Semiconductor Technology written by Mishra, Brojo Kishore and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-29 with Technology & Engineering categories.


The integration of artificial intelligence (AI), quantum computing, and semiconductor technology offers improved innovation to redefine computational power and capabilities. As AI drives advances in machine learning and data processing, quantum computing revolutionizes problem-solving with its ability to handle complex calculations at improved speeds. Advancements in semiconductor technology push the limits of processing efficiency and miniaturization. Continued exploration on this convergence may accelerate breakthroughs in various fields such as cryptography, material science, and healthcare. Integration of AI, Quantum Computing, and Semiconductor Technology explores the intersection of artificial intelligence (AI) and semiconductor technology within the context of quantum computing. It offers a comprehensive analysis of the current advancements, challenges, and potential applications resulting from this convergence. This book covers topics such as cyber security, healthcare monitoring, and machine learning, and is a useful resource for computer engineers, energy scientists, business owners, healthcare administrators, environmental scientists, academicians, and researchers.



Computational Methodologies For Electrical And Electronics Engineers


Computational Methodologies For Electrical And Electronics Engineers
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Author : Singh, Rajiv
language : en
Publisher: IGI Global
Release Date : 2021-03-18

Computational Methodologies For Electrical And Electronics Engineers written by Singh, Rajiv and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-18 with Technology & Engineering categories.


Artificial intelligence has been applied to many areas of science and technology, including the power and energy sector. Renewable energy in particular has experienced the tremendous positive impact of these developments. With the recent evolution of smart energy technologies, engineers and scientists working in this sector need an exhaustive source of current knowledge to effectively cater to the energy needs of citizens of developing countries. Computational Methodologies for Electrical and Electronics Engineers is a collection of innovative research that provides a complete insight and overview of the application of intelligent computational techniques in power and energy. Featuring research on a wide range of topics such as artificial neural networks, smart grids, and soft computing, this book is ideally designed for programmers, engineers, technicians, ecologists, entrepreneurs, researchers, academicians, and students.



Applied Linear Algebra


Applied Linear Algebra
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Author : Kartikeya Dutta
language : en
Publisher: Educohack Press
Release Date : 2025-02-20

Applied Linear Algebra written by Kartikeya Dutta and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Science categories.


"Applied Linear Algebra: Core Principles" is a comprehensive guide that delves into the principles, methodologies, and practical applications of linear algebra in various fields of science, engineering, and technology. Combining theoretical foundations, computational techniques, and real-world examples, this book offers a holistic approach to understanding and utilizing linear algebra concepts. Covering a wide range of topics, including vector spaces, matrices, eigenvalue problems, singular value decomposition, and numerical techniques, readers will gain a thorough understanding of both fundamental and advanced principles. Real-world applications in data science, machine learning, signal processing, control systems, and image processing are integrated throughout, demonstrating the practical relevance of linear algebra. Complex mathematical concepts are presented in a clear and accessible manner, making the book suitable for students, researchers, and practitioners with varying levels of mathematical background. Detailed explanations, illustrative examples, and step-by-step solutions aid comprehension and retention. An interdisciplinary approach connects theoretical concepts with practical applications, highlighting the versatility of linear algebra in solving real-world problems. Extensive references to literature, research papers, and online resources enable readers to explore topics in greater depth. This book is an invaluable resource for students, researchers, and professionals seeking to apply linear algebra techniques in their work across various domains.



Optimizing And Measuring Smart Grid Operation And Control


Optimizing And Measuring Smart Grid Operation And Control
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Author : Recioui, Abdelmadjid
language : en
Publisher: IGI Global
Release Date : 2020-11-13

Optimizing And Measuring Smart Grid Operation And Control written by Recioui, Abdelmadjid and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-13 with Technology & Engineering categories.


Smart grid (SG), also called intelligent grid, is a modern improvement of the traditional power grid that will revolutionize the way electricity is produced, delivered, and consumed. Studying key concepts such as advanced metering infrastructure, distribution management systems, and energy management systems will support the design of a cost-effective, reliable, and efficient supply system, and will create a real-time bidirectional communication means and information exchange between the consumer and the grid operator of electric power. Optimizing and Measuring Smart Grid Operation and Control is a critical reference source that presents recent research on the operation, control, and optimization of smart grids. Covering topics that include phase measurement units, smart metering, and synchrophasor technologies, this book examines all aspects of modern smart grid measurement and control. It is designed for engineers, researchers, academicians, and students.



Innovative Applications Of Nanowires For Circuit Design


Innovative Applications Of Nanowires For Circuit Design
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Author : Raj, Balwinder
language : en
Publisher: IGI Global
Release Date : 2020-11-20

Innovative Applications Of Nanowires For Circuit Design written by Raj, Balwinder and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-20 with Technology & Engineering categories.


Nanowires are an important sector of circuit design whose applications in very-large-scale integration design (VLSI) have huge impacts for bringing revolutionary advancements in nanoscale devices, circuits, and systems due to improved electronic properties of the nanowires. Nanowires are potential devices for VLSI circuits and system applications and are highly preferred in novel nanoscale devices due to their high mobility and high-driving capacity. Although the knowledge and resources for the fabrication of nanowires is currently limited, it is predicted that, with the advancement of technology, conventional fabrication flow can be used for nanoscale devices, specifically nanowires. Innovative Applications of Nanowires for Circuit Design provides relevant theoretical frameworks that include device physics, modeling, circuit design, and the latest developments in experimental fabrication in the field of nanotechnology. The book covers advanced modeling concepts of nanowires along with their role as a key enabler for innovation in GLSI devices, circuits, and systems. While highlighting topics such as design, simulation, types and applications, and performance analysis of nanowires, this book is ideally intended for engineers, practitioners, stakeholders, academicians, researchers, and students interested in electronics engineering, nanoscience, and nanotechnology.