Zum Hauptinhalt springen
Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Exploring Complex Networks with Quantum Walks - Fei Yan, Wen Liang, Fangyan Dong

Exploring Complex Networks with Quantum Walks

Buch | Hardcover
194 Seiten
2025
CRC Press (Verlag)
978-1-041-15384-9 (ISBN)
CHF 113,45 inkl. MwSt
  • Lieferbar (Termin unbekannt)
  • Versandkostenfrei
  • Auch auf Rechnung
  • Artikel merken
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.

Fei Yan, PhD, is a professor at the School of Computer Science and Technology, Changchun University of Science and Technology, China. He holds a PhD in Engineering from the Tokyo Institute of Technology, Japan. His research interests include quantum information processing, complex networks, and image processing. Wen Liang, PhD, is an associate professor at the School of Information Science and Engineering, Shenyang Ligong University, China. He holds a PhD in Engineering from the Changchun University of Science and Technology, China. His research interests include complex networks and quantum walks. Fangyan Dong, PhD, is a professor at the Faculty of Mechanical Engineering and Mechanics, Ningbo University, China. She holds a PhD in Engineering from the Tokyo Institute of Technology, Japan. Her research interests include computational intelligence, fuzzy systems, and quantum computing.

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

Erscheinungsdatum
Zusatzinfo 13 Tables, black and white; 42 Line drawings, black and white; 42 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 156 x 234 mm
Gewicht 550 g
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Naturwissenschaften Physik / Astronomie Quantenphysik
ISBN-10 1-041-15384-8 / 1041153848
ISBN-13 978-1-041-15384-9 / 9781041153849
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
was jeder über Informatik wissen sollte

von Timm Eichstädt; Stefan Spieker

Buch | Softcover (2024)
Springer Vieweg (Verlag)
CHF 53,15
Grundlagen – Anwendungen – Perspektiven

von Matthias Homeister

Buch | Softcover (2022)
Springer Vieweg (Verlag)
CHF 53,15
Teil 2 der gestreckten Abschlussprüfung Fachinformatiker/-in …

von Dirk Hardy; Annette Schellenberg; Achim Stiefel

Buch | Softcover (2025)
Europa-Lehrmittel (Verlag)
CHF 37,90