Advanced Techniques for Sizing of Analog IC by Trang Hoang (.ePUB)+
File Size: 10 MB
Advanced Techniques for Optimal Sizing of Analog Integrated Circuits: Quantum Computing, Machine Learning by Trang Hoang, Thinh Quang Do, Thang Quoc Nguyen, Hoang Trong Nguyen, Lihong Zhang, Octavia A. Dobre, Trung Duong
Requirements: .ePUB, .PDF reader, 10 MB
Overview: A novel and authoritative approach to quantum machine learning in integrated circuits design optimization. In Advanced Techniques for Optimal Sizing of Analog Integrated Circuits, a team of distinguished researchers deliver a comprehensive discussion of the theory, models, methodologies, practical implementation, and utilization of integrated circuit (IC) design. The authors explain IC design optimization, demonstrating cost-effective and time-saving design approaches, as well as techniques likely to be impactful in the near future. The book covers major topics in the field, describing key concepts, recent advances, effective algorithms, and pressing challenges associated with analog circuit sizing optimization. It discusses using both animal and human-inspired optimization algorithms to create basic and quantum machine learning methods. Perfect for researchers in engineering, computer scientists, professors, and senior undergraduate and graduate students in integrated circuit design, this book will also benefit students of Machine Learning, Computer Science, quantum computing, and optimization.
Genre: Non-Fiction > Tech & Devices

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