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Quantum Algorithms for Graph and Algebra Problems

. Sebastian Dorn presents new quantum algorithms for basic problems from graph and algebra theory. First of all, he introduces several quantum search;

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Quantum Algorithms via Linear Algebra

than machine models. Quantum Algorithms via Linear Algebra is suitable for classroom use or as a reference for computer scientists and;

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Quantum Circuit Simulation

quantum circuits and algorithms. It requires only basic familiarity with algebra, graph algorithms and computer engineering. After introducing;

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Introduction to Quantum Algorithms via Linear Algebra

Quantum computing explained in terms of elementary linear algebra, emphasizing computation and algorithms and requiring no background;

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Guide to Graph Algorithms

algorithms, approaches for NP-hard graph problems, and approximation algorithms and heuristics for such problems. The work also provides a;

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Introduction To Quantum Computers

logic gates; physical implementations of quantum logic gates in ion traps and in spin chains; the simplest schemes for quantum error correction;

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Introduction To Quantum Computers

logic gates; physical implementations of quantum logic gates in ion traps and in spin chains; the simplest schemes for quantum error correction;

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Graphs and Geometry

, statistical physics, graph algorithms and quantum physics. The book is based on courses and lectures that the author has given over the last few;

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Discrete Problems in Nature Inspired Algorithms

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization;

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Discrete Problems in Nature Inspired Algorithms

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization;

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Fundamentals of Quantum Programming in IBM s Quantum Computers

quantum programs for dealing with complex problems. Through numerous examples and exercises, readers will learn how to write a quantum program;

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Fundamentals of Quantum Programming in IBM's Quantum Computers

quantum programs for dealing with complex problems. Through numerous examples and exercises, readers will learn how to write a quantum program;

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Graph-Based Representations in Pattern Recognition

analysis, and graph theory. They cover topics such as graph edit distance, graph matching, machine learning for graph problems, network and graph;

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A Java Library of Graph Algorithms and Optimization

Library of Graph Algorithms and Optimization provides the source code for a library of Java programs that can be used to solve problems in graph;

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A Java Library of Graph Algorithms and Optimization

Library of Graph Algorithms and Optimization provides the source code for a library of Java programs that can be used to solve problems in graph;

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Optimization Problems in Graph Theory

This book presents open optimization problems in graph theory and networks. Each chapter reflects developments in theory and applications;

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Algorithmic Graph Theory

complexity: which graph problems have known efficient solutions and which are intractable. For the intractable problems a number of efficient;

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Graph Algebras and Automata

, and universal algebra. They are used to identify nontrivial connections across notions, expose conceptual properties, and mediate the;

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The Amazing World of Quantum Computing

goes on to discuss various elements of mathematics required for quantum computing. Quantum cryptography, waves and Fourier analysis, measuring;

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The Amazing World of Quantum Computing

goes on to discuss various elements of mathematics required for quantum computing. Quantum cryptography, waves and Fourier analysis, measuring;

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Introduction to Graph Theory

for which traditional areas of mathematics such as algebra or calculus are powerless. This book is for math and computer science majors, for;

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Algebraic Graph Algorithms

This textbook discusses the design and implementation of basic algebraic graph algorithms, and algebraic graph algorithms for complex;

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Handbook of Graph Theory, Combinatorial Optimization, and Algorithms

theoretical foundations to: Understand phenomena as shaped by their graph structures Develop needed algorithmic and optimization tools for the study;

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Graph Theory and Its Applications

Graph Theory and Its Applications, Third Edition is the latest edition of the international, bestselling textbook for undergraduate courses;

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Graph Theory and Its Applications

Graph Theory and Its Applications, Third Edition is the latest edition of the international, bestselling textbook for undergraduate courses;

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Quantum Monte Carlo Methods

use, and its foundations, and examines algorithms for the simulation of quantum many-body lattice problems at finite and zero temperature;

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Algorithms on Trees and Graphs

Graph algorithms is a well-established subject in mathematics and computer science. Beyond classical application fields, such as;

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