Exploring Complex Networks With Quantum Walks

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.

List 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

About the author

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.

Product details

• Authors: Fangyan Dong, Wen Liang, Fei Yan, Fei Liang Yan
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 09.12.2025
• EAN: 9781041153849
• ISBN: 978-1-0-4115384-9
• No. of pages: 312
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; SCIENCE / Physics / Quantum Theory, Quantum physics (quantum mechanics & quantum field theory), Quantum physics (quantum mechanics and quantum field theory), Mathematical theory of computation, Applied mathematics, Information technology: general issues, Library & Information Sciences, COMPUTERS / Data Science / Neural Networks, Library and information sciences / Museology, COMPUTERS / Quantum Computing, Digital and Information technology: general topics