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Shuang Cong Control of Quantum Systems. Theory and Methods


Advanced research reference examining the closed and open quantum systems Control of Quantum Systems: Theory and Methods provides an insight into the modern approaches to control of quantum systems evolution, with a focus on both closed and open (dissipative) quantum systems. The topic is timely covering the newest research in the field, and presents and summarizes practical methods and addresses the more theoretical aspects of control, which are of high current interest, but which are not covered at this level in other text books. The quantum control theory and methods written in the book are the results of combination of macro-control theory and microscopic quantum system features. As the development of the nanotechnology progresses, the quantum control theory and methods proposed today are expected to be useful in real quantum systems within five years. The progress of the quantum control theory and methods will promote the progress and development of quantum information, quantum computing, and quantum communication. Equips readers with the potential theories and advanced methods to solve existing problems in quantum optics/information/computing, mesoscopic systems, spin systems, superconducting devices, nano-mechanical devices, precision metrology. Ideal for researchers, academics and engineers in quantum engineering, quantum computing, quantum information, quantum communication, quantum physics, and quantum chemistry, whose research interests are quantum systems control.

14340.8 RUR

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Sandor Imre Advanced Quantum Communications


The book provides an overview of the most advanced quantum informational geometric techniques, which can help quantum communication theorists analyze quantum channels, such as security or additivity properties. Each section addresses an area of major research of quantum information theory and quantum communication networks. The authors present the fundamental theoretical results of quantum information theory, while also presenting the details of advanced quantum ccommunication protocols with clear mathematical and information theoretical background. This book bridges the gap between quantum physics, quantum information theory, and practical engineering.

14666.4 RUR

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Tzvetan S. Metodi Quantum Computing for Computer Architects


Quantum computers can (in theory) solve certain problems far faster than a classical computer running any known classical algorithm. While existing technologies for building quantum computers are in their infancy, it is not too early to consider their scalability and reliability in the context of the design of large-scale quantum computers. To architect such systems, one must understand what it takes to design and model a balanced, fault-tolerant quantum computer architecture. The goal of this lecture is to provide architectural abstractions for the design of a quantum computer and to explore the systems-level challenges in achieving scalable, fault-tolerant quantum computation.
In this lecture, we provide an engineering-oriented introduction to quantum computation with an overview of the theory behind key quantum algorithms. Next, we look at architectural case studies based upon experimental data and future projections for quantum computation implemented using trapped ions. While we focus here on architectures targeted for realization using trapped ions, the techniques for quantum computer architecture design, quantum fault-tolerance, and compilation described in this lecture are applicable to many other physical technologies that may be viable candidates for building a large-scale quantum computing system. We also discuss general issues involved with programming a quantum computer as well as a discussion of work on quantum architectures based on quantum teleportation. Finally, we consider some of the open issues remaining in the design of quantum computers.
Table of Contents: Introduction / Basic Elements for Quantum Computation / Key Quantum Algorithms / Building Reliable and Scalable Quantum Architectures / Simulation of Quantum Computation / Architectural Elements / Case Study: The Quantum Logic Array Architecture / Programming the Quantum Architecture / Using the QLA for Quantum Simulation: The Transverse Ising Model / Teleportation-Based Quantum Architectures / Concluding Remarks

3931.39 RUR

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F95 Smoke Respirator PM2.5 Smart Respirator Electric Ventilation And Breathable Safety Dust Respirator (For Both Men And Women).

Hati-Hati


Die bedrohliche Situation, in der sich zahlreiche grosse Wildtiere auf unserer Erde befinden, macht es dringend notwendig, dass Zoologen sich mit der Biologie der Saugetiere beschaftigen, in die Steppen, Urwalder, Tundren und Gebirge reisen, um die Bedrohten in ihrer naturlichen Heimat zu belauschen, ihre Lebensweise kennenzulernen und zu ihrem Schuss aufzurufen. Diesem Zweck entsprach audi unsere Expedition. Zur Schilderung des Verlaufes dieser Reise gebe ich meiner Frau, der besten und einfuhlsamsten Begleiterin, die ich mir wunschen konnte, das Wort. Wo die Zoologie und die Tierpsychologie zur Erklarung unserer Beobachtungen herangezogen werden mussen, werde ich mich wieder unbemerkt einschalten, denn wir mochten neben der Liebe zu Mensch und Tier auch das Verstandnis fur die Gesesse wecken, die in der Natur wirksam sind. Hati wird in Indien der Elefant genannt. Wir haben unserem Buch den Titel Hati-Hati gegeben, weil wir die meisten unserer Beobachtungen und Aufnahmen den Reitelefanten verdanken. Nur auf ihrem Rucken war es moglich, Siimpfe zu durchqueren, in dichtesten Dschungel einzudringen und uns unbemerkt wilden Tieren zu nahern.

175 RUR

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Andreas Miroslaus Wichert Principles Of Quantum Artificial Intelligence: Quantum Problem Solving And Machine Learning (Second Edition)


This unique compendium presents an introduction to problem solving, information theory, statistical machine learning, stochastic methods and quantum computation. It indicates how to apply quantum computation to problem solving, machine learning and quantum-like models to decision making &#x2014; the core disciplines of artificial intelligence.Most of the chapters were rewritten and extensive new materials were updated. New topics include quantum machine learning, quantum-like Bayesian networks and mind in Everett many-worlds.<b>Contents:</b> <ul><li>Introduction</li><li>Computation</li><li>Problem Solving</li><li>Information</li><li>Reversible Algorithms</li><li>Probability</li><li>Introduction to Quantum Physics</li><li>Computation with Qubits</li><li>Periodicity</li><li>Search</li><li>Quantum Problem-Solving</li><li>Grover's Algorithm and the Input Problem</li><li>Statistical Machine Learning</li><li>Linear-Algebra Based Quantum Machine Learning</li><li>Stochastic Methods</li><li>Adiabatic Quantum Computation and Quantum Annealing</li><li>Quantum Cognition</li><li>Quantum like-Evolution</li><li>Quantum Computation and the Multiverse</li><li>Conclusion</li></ul><br><b>Readership:</b> Professionals, researchers, academics, and graduate students in databases, artificial intelligence, pattern recognition and neural networks. Quantum Computing;Quantum Theory;AI;Machine Learning;Quantum Machine Learning;Quantum Cognition;Multiverse00

10331.55 RUR

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