Quantum and nanocomputing

This lecture covers the principles of digital design, focusing on analog-to-digital converters (ADCs) and their architectures. Topics include mismatch in ADCs, sigma-delta ADCs, oversampling advantages, quantization noise, noise shaping, dynamic element matching, and FPGA-based ADCs. The instructor discusses figures of merit, such as Walden and Schreier FOMs, and the advantages of oversampling. The lecture also delves into the design flow of digital circuits, the functionality of FPGAs, and the performance of ADCs on FPGAs. Additionally, it explores the lower bounds in digital design, the concept of slices in FPGA fabric, and the execution flow in firmware and software design.