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Quantum computing explained in terms of elementary linear algebra, emphasizing computation and algorithms and requiring no background;
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; quantum circuits and gates are used to illuminate linear algebra; and the discussion of complexity is anchored in computational problems rather;
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problems and independent set problems. Furthermore quantum complexity bounds for group testing problems and for problems from linear algebra are;
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Quantum Circuit Simulation covers the fundamentals of linear algebra and introduces basic concepts of quantum physics needed to understand;
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structures of quantum mechanics and an introduction to linear programming. Also discussed are Kahler's metic, the theory of Hilbert polynomials, and;
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Linear algebra refers to the study of lines, sub-spaces, planes and understanding the characteristics of vector spaces. It includes;
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entropies, quantum coding, quantum error correction and quantum cryptography. The required knowledge is only elementary calculus and linear algebra;
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culture.The book is also a good introduction to functional analysis and quantum theory since it discusses the general principles of linear algebra;
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culture.The book is also a good introduction to functional analysis and quantum theory since it discusses the general principles of linear algebra;
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students in theoretical and computational chemistry and physics, Linear Algebra for Quantum Theory provides the mathematical means necessary to;
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) fields with an interest in designing quantum algorithms. Readers are expected to have a firm grasp of linear algebra and some familiarity with;
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) fields with an interest in designing quantum algorithms. Readers are expected to have a firm grasp of linear algebra and some familiarity with;
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This book is a comprehensive introduction to all the components of a high-performance parallel linear algebra library, as well as a guide;
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Covering both theory and progressive experiments, Quantum Computing: From Linear Algebra to Physical Realizations explains how and why;
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is required beyond classical physics, basic digital design, and some exposure to linear algebra. Quantum Computing: A Beginner's Introduction;
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This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject. It includes;
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ONE-VOLUME INTRODUCTION TO QUANTUM COMPUTING Clearly explains core concepts, terminology, and techniques Covers the;
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Quantum Optics for Engineers provides a transparent and methodical introduction to quantum optics via the Dirac's bra-ket notation with an;
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Quantum Optics for Engineers provides a transparent and methodical introduction to quantum optics via the Dirac's bra-ket notation with an;
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This textbook provides a self-contained introduction to linear programming using MATLAB(R) software to elucidate the development;
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This book provides a self-contained introduction to quantum groups as algebraic objects. Based on the author's lecture notes from a Part;
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This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject. It includes;
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Quantum computing promises to solve problems which are intractable on digital computers. Highly parallel quantum algorithms can decrease;
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Quantum computing promises to solve problems which are intractable on digital computers. Highly parallel quantum algorithms can decrease;
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This concise, accessible text provides a thorough introduction to quantum computing - an exciting emergent field at the interface of the;
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Introduction to Linear Algebra in Geology introduces linear algebra to students of geology and explores the possibilities of using the;
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Our self-contained volume provides an accessible introduction to linear and multilinear algebra as well as tensor calculus. Besides the;
Vergelijkbare producten zoals Matrix Calculus, Kronecker Product and Tensor Product - A Practical Approach to Linear Algebra, Multilinear Algebra and Tensor Calculus with Software Implementations (3rd Edition)
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