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OverviewFull Product DetailsAuthor: Yuxuan Du , Xinbiao Wang , Naixu Guo , Zhan YuPublisher: Springer Verlag, Singapore Imprint: Springer Verlag, Singapore ISBN: 9789819512836ISBN 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 ![]() 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 ContentsChapter 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.ReviewsAuthor InformationYuxuan 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 6Author Website:Countries AvailableAll regions |