A Gentle Introduction to Quantum Machine Learning

Name: A Gentle Introduction to Quantum Machine Learning
Brand: Springer
SKU: 9789819512836
Price: 2964.0 INR
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by Yuxuan Du , Xinbiao Wang , Naixu Guo

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ISBN13: 9789819512836
Binding: Hardcover
Subject: Computer Science and Information Technology
Publisher: Springer
Publisher Imprint: Springer
Publication Date: October 26, 2025
Pages: 212
Original Price: USD 44.99
Language: English
Edition: N/A
Item Weight: 499 grams
BISAC Subject(s): Probability & Statistics / General

About The Book

Readers will explore quantum kernel methods, quantum neural networks, and quantum Transformers, gaining insight into their theoretical foundations, performance advantages, and practical implementations.

About The Author

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.

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