Kaining Zhang – författare

Sexual and Reproductive Health in China: Reorienting Concepts and Methodology is translated from the original Chinese version and presents a multi-disciplinary approach to the current assessment of the changes in sexual and reproductive health during the past thirty years. This volume and the others in the SSRC series, provide western scholars with an accessible English language look at the state of current scholarship in China, and as such, does not simply provide information for the direct study of socio-political issues, but also for meta-level analysis of how the domestic scholarship in China is developing and assessing the interplay of the country's political and economic reforms with the society and daily life of its people.

Quantum machine learning (QML) is revolutionizing artificial intelligence by leveraging the power of quantum computing to access previously unimaginable computational possibilities. However, the field remains fragmented—balancing rigorous quantum theory with practical AI applications remains a challenge. This book bridges this gap, offering a systematic, hands-on guide for AI researchers, ML practitioners, and computer scientists eager to explore this emerging frontier. It provides a cohesive roadmap, covering everything from fundamental quantum computing principles to state-of-the-art QML techniques. Readers will explore quantum kernel methods, quantum neural networks, and quantum Transformers, gaining insight into their theoretical foundations, performance advantages, and practical implementations. The book’s code demonstrations offer hands-on experience, ensuring that readers can move beyond theory to real-world applications.Designed for those with an AI or ML background, this tutorial does not assume prior expertise in quantum computing. Instead, it presents complex concepts with clarity, making it an essential resource for researchers, graduate students, and industry professionals eager to stay ahead in the quantum AI revolution. Whether you seek to understand quantum speedups, develop quantum-based models, or explore future research directions, this book provides the foundation you need to engage with QML and shape the future of intelligent computing.