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Approximability of Optimization Problems through Adiabatic Quantum Computation

The adiabatic quantum computation (AQC) is based on the adiabatic theorem to approximate solutions of the Schroedinger equation. The design;

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Quantum Spin Glasses, Annealing and Computation

including adiabatic quantum computers and quenching dynamics are discussed in detail. This text will be useful for students of quantum computation;

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Adiabatic Quantum Computation and Quantum Annealing

Adiabatic quantum computation (AQC) is an alternative to the better-known gate model of quantum computation. The two models are;

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Adiabatic Quantum Computation and Quantum Annealing

Adiabatic quantum computation (AQC) is an alternative to the better-known gate model of quantum computation. The two models are;

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Nonlinear Adiabatic Evolution of Quantum Systems

This book systematically introduces the nonlinear adiabatic evolution theory of quantum many-body systems. The nonlinearity stems from a;

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Quantum Algorithms for Graph and Algebra Problems

Quantum computing is an exciting new area between computer science and quantum physics. The computation is based on quantum mechanics;

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Modeling, Computation And Optimization

optimization. It contains theory, computation as well as the applications of several mathematical models to problems in statistics, games, optimization;

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Quantum Machine Learning with Python

with advanced topics of Quantum adiabatic processes and Quantum based optimization. Throughout the book, there are Python implementations;

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Evolutionary Computation with Biogeography-based Optimization

Evolutionary computation algorithms are employed to minimize functions with large number of variables. Biogeography-based optimization (BBO;

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Perspectives in Computation

most efficiently be done. In recent years, quantum mechanics has augmented our understanding of the process of computation and of its;

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Perspectives in Computation

most efficiently be done. In recent years, quantum mechanics has augmented our understanding of the process of computation and of its;

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Quantum Walks for Computer Scientists

Quantum computation, one of the latest joint ventures between physics and the theory of computation, is a scientific field whose main goals;

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Metaheuristic Computation with MATLAB (R)

Metaheuristic algorithms are considered as generic optimization tools that can solve very complex problems characterized by having very;

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Metaheuristic Computation with MATLAB (R)

Metaheuristic algorithms are considered as generic optimization tools that can solve very complex problems characterized by having very;

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Evolutionary Computation in Combinatorial Optimization

This book constitutes the refereed proceedings of the 20th European Conference on Evolutionary Computation in Combinatorial Optimization;

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Elements of Quantum Computation and Quantum Communication

. Filling this gap, Elements of Quantum Computation and Quantum Communication gives a clear, self-contained introduction to quantum computation and;

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Elements of Quantum Computation and Quantum Communication

. Filling this gap, Elements of Quantum Computation and Quantum Communication gives a clear, self-contained introduction to quantum computation and;

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Statistical Inference via Convex Optimization

This authoritative book draws on the latest research to explore the interplay of high-dimensional statistics with optimization. Through an;

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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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Advances in Dynamics, Optimization and Computation

This book presents a collection of papers on recent advances in problems concerning dynamics, optimal control and optimization. In many;

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Formulation and Numerical Solution of Quantum Control Problems

via modern computational techniques. The quantum theory framework is based on the Schroedinger picture, and the optimization theory, which;

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On the Adiabatic Theorem in Quantum Theory. Part I

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On the Adiabatic Theorem in Quantum Theory. Part I

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Introduction to Quantum Computation

"Introduction to Quantum Computation" is an introduction to a new rapidly developing theory of quantum computing. The book is a;

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Evolutionary Computation in Combinatorial Optimization

This book constitutes the refereed proceedings of the 21st European Conference on Evolutionary Computation in Combinatorial Optimization;

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Advances in Learning Automata and Intelligent Optimization

optimization problems. The ever-increasing application of the LA as a promising reinforcement learning technique in artificial intelligence makes it;

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Reversible Computation

circuit optimization; testing and fault tolerance; and quantum circuits.;

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