A Gentle Introduction to Quantum Machine Learning

Author:   Yuxuan Du ,  Xinbiao Wang ,  Naixu Guo ,  Zhan Yu
Publisher:   Springer Verlag, Singapore
ISBN:  

9789819512836


Pages:   220
Publication Date:   30 October 2025
Format:   Hardback
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Our Price $118.77 Quantity:  
Pre-Order

Share |

A Gentle Introduction to Quantum Machine Learning


Overview

Full Product Details

Author:   Yuxuan Du ,  Xinbiao Wang ,  Naixu Guo ,  Zhan Yu
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
ISBN:  

9789819512836


ISBN 10:   9819512832
Pages:   220
Publication Date:   30 October 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Chapter 1. Introduction.- Chapter 2. Basics of Quantum Computing.- Chapter 3. Quantum Kernel Methods.- Chapter 4. Quantum Neural Networks.- Chapter 5. Quantum Transformer.- Chapter 6. Conclusion.

Reviews

Author Information

Yuxuan Du is an assistant professor at Nanyang Technological University, specializing in quantum machine learning, quantum learning theory, and AI for quantum science. He was previously a senior researcher at JD Explore Academy and earned his Ph.D. in computer science from The University of Sydney in 2021. Xinbiao Wang is a research fellow at Nanyang Technological University. He earned his Master’s (2021) and Ph.D. (2024) from Wuhan University, researching quantum machine learning under Professors Dacheng Tao and Yong Luo. He interned at JD.com and held visiting positions at NTU and NUS. Naixu Guo is a Ph.D. candidate in Quantum Information at NUS. He holds an M.E. in Electrical Engineering from Osaka University (2022) and a B.E. in Applied Physics from Kyoto University (2020) and has conducted research visits at RWTH Aachen and the Free University of Berlin. Zhan Yu is a Ph.D. student in Quantum Computing at NUS (since 2023). He holds an M.Sc. (2021) and B.Sc. (2019) in Computer Science from the University of Calgary, where he researched quantum walks under Peter Høyer. He also holds a B.Eng. in Software Engineering from Wuhan University of Technology (2016) and interned at Baidu Research (2021–2023). Yang Qian received his B.S. from Huazhong University of Science and Technology (2016), M.S. from CASIA (2019), and Ph.D. from the University of Sydney (2024) under Prof. Dacheng Tao. Kaining Zhang is a Research Fellow at NTU’s College of Computing and Data Science. He earned his Ph.D. (2024) and MPhil (2020) in Computer Science from the University of Sydney and a B.Sc. in Physics from USTC (2018). Min-Hsiu Hsieh is Director of the Hon Hai Quantum Computing Research Center, Taiwan. He was previously an Associate Professor at UTS and held research roles at Cambridge, the University of Tokyo, and ERATO-SORST in Japan. He also held an Australian Research Council Future Fellowship (2014–2018). Patrick Rebentrost is an assistant professor at NUS, specializing in quantum computing and quantum machine learning. He previously held research positions at MIT, Xanadu, and the Centre for Quantum Technologies. He earned his Ph.D. from Harvard University in 2012. Dacheng Tao is a distinguished university professor at NTU and a leading AI, machine learning, and quantum computing researcher. He was previously a professor at the University of Sydney (2016–2023) and Senior VP at JD.com. Holding a Ph.D. from the University of London, he has held faculty roles at UTS, NTU, and HK PolyU.

Tab Content 6

Author Website:  

Countries Available

All regions
Latest Reading Guide

ARG20253

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List