This paper studies fundamentals of quantum processing on measurable processable compatible observables in microscopic systems which undergo quantum state transitions. The aforementioned microscopic devices (processing primitives) form processing fabrics. We examine the premise of quantum processing by: (1) Unifying and enabling theoretical concepts of theoretical computer science, computer engineering and quantum mechanics; (2) Examining the first principles; (3) Researching device physics; (4) Fostering fundamentally-consistent and practical microscopic hardware solutions. Vertebrates and invertebrates exhibit extraordinary information processing which is performed by biomolecules and molecular aggregates. Information processing in natural systems has not been comprehended, while engineered quantum processing is an emerging paradigm. This paradigm focuses on developments of a great number of new solutions such as microscopic devices, processing arithmetics (calculi), system architectures, etc. The microscopic processing primitives must exhibit utilizable quantum-effect state transitions on observables which result in computable transforms from viewpoints of processing arithmetics, calculus and design. The reported paradigm: (i) Eases enormous challenges; (ii) Overcomes foremost inconsistencies of naive algorithmically-centric computing; (iii) Enables new inroads; (iv) Promises unprecedented processing capabilities ensuring far-reaching benchmarks; (v) Significant advances theory and practice of natural and engineered processing. Our findings support a broad spectrum of transformative research activities.
This paper studies fundamentals of quantum processing on measurable processable compatible observables in microscopic systems which undergo quantum state transitions. The aforementioned microscopic devices (processing primitives) form processing fabrics. We examine the premise of quantum processing by: (1) Unifying and enabling theoretical concepts of theoretical computer science, computer engineering and quantum mechanics; (2) Examining the first principles; (3) Researching device physics; (4) Fostering fundamentally-consistent and practical microscopic hardware solutions. Vertebrates and invertebrates exhibit extraordinary information processing which is performed by biomolecules and molecular aggregates. Information processing in natural systems has not been comprehended, while engineered quantum processing is an emerging paradigm. This paradigm focuses on developments of a great number of new solutions such as microscopic devices, processing arithmetics (calculi), system architectures, etc. The microscopic processing primitives must exhibit utilizable quantum-effect state transitions on observables which result in computable transforms from viewpoints of processing arithmetics, calculus and design. The reported paradigm: (i) Eases enormous challenges; (ii) Overcomes foremost inconsistencies of naive algorithmically-centric computing; (iii) Enables new inroads; (iv) Promises unprecedented processing capabilities ensuring far-reaching benchmarks; (v) Significant advances theory and practice of natural and engineered processing. Our findings support a broad spectrum of transformative research activities.
This paper examines physical, algorithmic and hardware fundamentals of quantum information processing which includes computing, coding, communication, data storage and other tasks. Practical processing by microscopic (atomic and molecular) systems can be accomplished only by using measurable real-valued physical variables (quantities). These variables should be quantum-mechanically achivable, algorithmically processable and hardware realizable. The theoretical results of quantum mechanics must be experimentally substantiated by observing controlled quantum state transitions, transductions and evolutions in dynamic microscopic systems. The microscopic devices form processing fabrics. We examine the premise of quantum processing by: (1) Unifying and enabling theoretical computer science, quantum information science and computer engineering; (2) Examining the first principles of quantum information processing at the device and system levels; (3) Developing algorithmic and design paradigms with consistent processing calculus and arithmetics; (4) Fostering consistent and practical microscopic hardware solutions.
For electronic, MEMS and electronic systems, we examine emerged technologies, research novel solutions and apply new transformative findings. To enable communication and processing schemes, nano and molecular technologies are applied. Transformative findings and developments are substantiated by analyzing and evaluating multi-physics microscopic systems. We advance physical foundations, engineering premises and information technology of classical, quantum and mixed sensing, communication and processing on quantum transductions. This paper examines fundamentals of quantum data processing on measurable and processable real-valued physical quantities. The developed paradigm: (1) Unifies and enables concepts of theoretical computer science, computer engineering and quantum mechanics; (2) Consistent with the first principles of quantum informatics, communication and processing; (3) Coherently examines device physics, switching algebra, processing arithmetics and calculus; (4) Enables practical microscopic hardware solutions for electronics, MEMS and electronic systems.
Quantum Computing The twenty-first century has witnessed remarkable advancements in computing technologies, transforming every aspect of modern society. As conventional computing systems approach their physical and computational limits, the search for new paradigms capable of solving increasingly complex problems has led to the emergence of Quantum Computing. By harnessing the principles of quantum mechanics, quantum computing represents a revolutionary approach that has the potential to redefine computation, communication, and information processing on an unprecedented scale. Quantum Computing is designed to provide readers with a comprehensive understanding of the concepts, principles, technologies, and applications that form the foundation of this rapidly evolving field. This book aims to bridge the gap between theoretical quantum mechanics and practical computational applications, enabling students, researchers, academicians, and professionals to explore the transformative potential of quantum technologies. The chapters in this book cover a broad spectrum of topics, including the fundamentals of quantum mechanics, quantum bits (qubits), quantum gates, superposition, entanglement, quantum circuits, quantum algorithms, quantum cryptography, quantum communication, and quantum error correction. The book also explores the architecture of quantum computers and examines the challenges involved in building scalable and fault-tolerant quantum systems. As industries increasingly seek innovative solutions to complex computational problems, quantum computing is emerging as a promising technology with applications in cryptography, artificial intelligence, machine learning, optimization, financial modeling, healthcare, pharmaceutical research, materials science, logistics, and climate modeling. The ability of quantum computers to process vast amounts of information simultaneously offers opportunities that were previously beyond the reach of classical computing systems. Special attention has been given to contemporary developments in quantum technologies, including quantum supremacy, hybrid quantum-classical computing, cloud-based quantum platforms, and the growing role of quantum computing in scientific discovery and industrial innovation. The book also discusses ethical, security, and societal implications associated with the advancement of quantum technologies. The primary objective of this book is to equip readers with both foundational knowledge and practical insights into the field of quantum computing. Through a balanced presentation of theory, applications, case studies, and emerging research trends, the book seeks to inspire curiosity, innovation, and further exploration in this transformative domain. We extend our sincere gratitude to the authors, reviewers, researchers, academicians, and industry experts whose valuable contributions have enriched the quality and relevance of this publication. Their dedication and expertise have helped create a resource that reflects the latest developments and future possibilities of quantum computing. We hope that Quantum Computing will serve as a valuable guide for students, educators, researchers, and technology professionals seeking to understand the next frontier of computational science. May this book inspire new ideas, foster innovation, and contribute to the advancement of knowledge in one of the most exciting technological revolutions of our time. Mr. M. Rajeshkumar Dr. R. Mariappan Mr. E.Janakiraman,
This paper examines various engineered and natural photonic and biophotonic systems. To analyze and design microscopic systems, we examine quantum phenomena which are exhibited and utilized. Quantum effects and photonic technology are widely used in biotechnology, communication, electronics, medicine and other applications. Basic research and discoveries in photonics and biophotonics are foundations of science and engineering in developing new knowledge bases, systems and technologies beyond currently available. Advances are needed in computer-brain interfacing, photoelectronics, optogenetics, neurophotonics, etc. With a focus on practical engineered devices, we perform quantum analysis and propose enabling solutions. Our three-fold objectives are: (1) Examine microscopic systems; (2) Study phenomena, effects and mechanisms possibly utilized by natural systems to accomplish sensing, communication and processing; (3) Devise novel microscopic systems by researching solutions which may enable a knowledge base and discover new sensing and processing capabilities comparable to exhibited by living organisms. Our transformative findings are substantiated by means of basic, applied and numerical studies which are consistent with experiments, biophysics and quantum mechanics.
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.
This paper presents a comprehensive review of quantum computing and the technological foundations of quantum processors. Quantum computing represents a transformative computational paradigm that leverages the fundamental principles of quantum mechanics—such as superposition, entanglement, and quantum interference—to solve complex problems that are intractable for classical computers. At the core of this paradigm lies the quantum processor, a specialized hardware system designed to initialize, control, and measure quantum bits (qubits) through precise gate operations and coherent interactions. The survey examines the essential theoretical concepts underlying quantum computation and provides a structured comparison of leading quantum processor platforms. Prominent architectures, including superconducting circuits, trapped-ion systems, and photonic implementations, are analyzed in terms of their physical mechanisms, scalability, coherence properties, and engineering challenges. Each platform offers distinct advantages and faces specific technical limitations related to noise, error correction, and fabrication complexity. In addition to reviewing hardware developments, this study highlights key obstacles in advancing quantum processors toward large-scale, fault-tolerant systems. Issues such as qubit stability, error mitigation, thermal management, and system integration are discussed to present a realistic perspective on current progress. Performance indicators including gate fidelity, coherence time, connectivity, and scalability are used to compare architectural approaches. The objective of this paper is to provide a clear and organized synthesis of recent advancements in quantum computing hardware, thereby offering researchers and practitioners a foundational reference to support continued innovation and development in this rapidly evolving field.