Exploring Complex Networks with Quantum Walks
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 29 December 2025
- ISBN 9781041153849
- Binding Hardback
- No. of pages198 pages
- Size 234x156 mm
- Language English
- Illustrations 42 Illustrations, black & white; 42 Line drawings, black & white; 13 Tables, black & white 700
Categories
Short description:
This book explores the intersection of quantum computing and network science. It bridges the theoretical foundations of quantum walk algorithms with their applications in the structural exploration and representation learning of complex networks.
MoreLong description:
This book explores the intersection of quantum computing and network science. It bridges the theoretical foundations of quantum walk algorithms with their applications in the structural exploration and representation learning of complex networks.
Quantum walks, a technology that is pivotal to universal quantum computational models, examines the movement of particles on a graph composed of nodes and links. Quantum superposition enables these particles to traverse these graphs more quickly, while measurement-induced collapse introduces fluctuations, making the identification of critical nodes challenging yet intriguing. At its core, the book explores how quantum walk algorithms can transform the structural and representational analysis of complex networks. It begins by introducing the fundamental concepts of quantum computing and quantum walks, including generalized definitions and the properties of low-dimensional quantum walks. Then, it discusses the implementation of discrete- and continuous-time quantum walks for mining network nodes, links, and subgraphs, as well as their use in network representation learning and graph neural networks.
The book will serve as a valuable reference for researchers, students, and educators interested in quantum walks, complex networks, quantum mechanics, and information engineering.
MoreTable of Contents:
1. Quantum Computing and Quantum Walks 2. Foundational Theory of Quantum Walks 3. Applications of Quantum Walks in Node Discovery 4. Applications of Quantum Walks in Link Mining 5. Applications of Quantum Walks in Community Detection 6. Applications of Quantum Walks in Network Representation Learning 7. Conclusions
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