Trang H. Advanced Techniques for Optimal Sizing of Analog IC...2026

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Trang H. Advanced Techniques for Optimal Sizing of Analog IC...2026

Textbook in PDF format 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. Readers will also find: A novel approach to quantum machine learning in integrated circuit design optimization A range of introductory and advanced topics suitable for students, advanced professionals, and researchers Detailed illustrations that clarify abstract, complicated engineering concepts Complete treatments of animal behavior-inspired optimization algorithms, including particle swarm optimization, firefly algorithm, cuckoo search, and bat algorithm The IC design process consists of three main stages: logic, analog, and physical designs, among which analog IC design contributes significantly to noise cancellation and reduction in both power consumption and chip area. In analog IC design, proper sizing of transistors and passive components plays a critical role in determining a circuit’s performance: their optimal physical dimensions directly affect the circuit’s key parameters such as gain, bandwidth, speed, power dissipation, stability, and noise characteristics. Without suitable component sizing, even a well-conceived circuit architecture may fail to meet design specifications, leading to poor performance and hence increased manufacturing costs. Therefore, meticulously sizing in analog IC design is not only a technical necessity but also a crucial factor in achieving high performance, reliability, and efficiency in IC. Analog sizing procedure involves determining the optimal dimensions of transistors and circuit components to achieve targeted performance for design parameters. 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