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Teaching quantum computation and information is notoriously difficult, because it requires covering subjects from various fields of science, organizing these subjects consistently in a unified way despite their tendency to favor their specific languages, and overcoming the subjects’ abstract and theoretical natures, which offer few examples of actual realizations. In this book, we have organized all the subjects required to understand the principles of quantum computation and information processing in a manner suited to physics, mathematics, and engineering courses as early as undergraduate studies.In addition, we provide a supporting package of quantum simulation software from Wolfram Mathematica, specialists in symbolic calculation software. Throughout the book’s main text, demonstrations are provided that use the software package, allowing the students to deepen their understanding of each subject through self-practice. Readers can change the code so as to experiment with their own ideas and contemplate possible applications. The information in this book reflects many years of experience teaching quantum computation and information. The quantum simulation-based demonstrations and the unified organization of the subjects are both time-tested and have received very positive responses from the students who have experienced them.
Algebra --- Mathematical control systems --- Quantum mechanics. Quantumfield theory --- Information systems --- Computer. Automation --- algebra --- lineaire algebra --- quantumfysica --- informatica --- informatietechnologie --- informatietheorie --- Quantum physics. --- Algebras, Linear. --- Data structures (Computer science). --- Information theory. --- Quantum Physics. --- Linear Algebra. --- Data Structures and Information Theory.
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Quantum physics, which offers an explanation of the world on the smallest scale, has fundamental implications that pose a serious challenge to ordinary logic. Particularly counterintuitive is the notion of entanglement, which has been explored for the past 30 years and posits an ubiquitous randomness capable of manifesting itself simultaneously in more than one place. This amazing 'non-locality' is more than just an abstract curiosity or paradox: it has entirely down-to-earth applications in cryptography, serving for example to protect financial information; it also has enabled the demonstration of 'quantum teleportation', whose infinite possibilities even science-fiction writers can scarcely imagine. This delightful and concise exposition does not avoid the deep logical difficulties of quantum physics, but gives the reader the insights needed to appreciate them . From 'Bell's Theorem' to experiments in quantum entanglement, the reader will gain a solid understanding of one of the most fascinating areas of contemporary physics.
History of physics --- Quantum mechanics. Quantumfield theory --- Physics --- Spectrometric and optical chemical analysis --- Computer science --- Information systems --- Computer. Automation --- science fiction --- quantumfysica --- electron spin resonance spectre --- cryptologie --- informatica --- informatietechnologie --- programmatielogica --- fysica --- Quàntums, Teoria dels --- Ordinadors quàntics --- Espintrònica --- Quantum physics. --- Physics. --- Quantum computers. --- Spintronics. --- Data structures (Computer science). --- Quantum Physics. --- History and Philosophical Foundations of Physics. --- Quantum Information Technology, Spintronics. --- Data Structures and Information Theory.
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With the intriguing development of technologies in several industries along with the advent of accrescent and ubiquitous computational resources, it creates an ample number of opportunities to develop innovative intelligence technologies in order to solve the wide range of uncertainties, imprecision, and vagueness issues in various real-life problems. Hybridizing modern computational intelligence with traditional computing methods has attracted researchers and academicians to focus on developing innovative AI techniques using data science. International Conference on Data Science and Artificial Intelligence (ICDSAI) 2022, organized on April 23-24, 2022 by the Indian Institute of Technology, Patna at NITIE Mumbai (India) in collaboration with the International Association of Academicians (IAASSE) USA collected scientific and technical contributions with respect to models, tools, technologies, and applications in the field of modern Artificial Intelligence and Data Science, covering the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.
Mathematical control systems --- Electronics --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- signal processing --- informatica --- informatietechnologie --- wiskunde --- KI (kunstmatige intelligentie) --- signaalprocessoren --- informatietheorie --- signaalverwerking --- Mathematics—Data processing. --- Data structures (Computer science). --- Information theory. --- Artificial intelligence. --- Signal processing. --- Computational Mathematics and Numerical Analysis. --- Data Structures and Information Theory. --- Artificial Intelligence. --- Signal, Speech and Image Processing . --- Intel·ligència computacional --- Dades massives --- AI (artificiële intelligentie)
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To be able to merge the psyche with the neural system has been a long-sought goal. There is much scientific literature on results from research on this topic, but the goal of this “booklet” is to present the subject in a nutshell and to attract a wider audience to this highly complex topic. Scientists often need years to grasp the scope and implications of merging the psyche with the neural system. Does that really have to be the case? What does the simulated model look like? What are the underlying philosophies? Can it be understood without mathematical formalism? Uniting the psyche and neurology in one model, on the one hand, allows psychological and social theories to be tested on a scientific basis using simulation experiments. On the other hand, a model developed according to the functional structures of the human brain, let us call it the Psi-Organ, which comprises neurology and psyche as one unit, can serve as a basis for AI systems. These can be systems with cognitive capabilities that save human lives, save energy, ensure safety at airports, provide support in caring for the elderly and much more. In other words, systems that can simplify our lives in the most relevant ways and on a broad basis. This model, the Psi-Organ, goes far beyond today's primarily behavior-based AI methods. The manuscript can serve as an excellent introduction to the problem of understanding and modelling the human mind, and to the problem of achieving artificial “intelligence” in general, increasing awareness and understanding for the associated challenges. In that regard, it is a valuable supplementary text for advanced students or researchers in the field, notably not only in AI, but also (and perhaps primarily) in the medical fields.
Psychology --- Social psychology --- Mathematical control systems --- Neuropathology --- Programming --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- gedrag (mensen) --- psychologie --- applicatiebeheer --- apps --- informatica --- hersenen --- informatietechnologie --- KI (kunstmatige intelligentie) --- architectuur (informatica) --- informatietheorie --- Artificial intelligence. --- Application software. --- Psychology. --- Neurology. --- Data structures (Computer science). --- Information theory. --- Artificial Intelligence. --- Computer and Information Systems Applications. --- Behavioral Sciences and Psychology. --- Data Structures and Information Theory. --- Symbolic AI. --- Medicine --- Medical --- AI (artificiële intelligentie)
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