Lecture

Quantum and nanocomputing

Related lectures (32)

Covers quantum computing fundamentals, ADC architectures, oversampling advantages, noise shaping, glitch phenomena, and digital integrated circuit noise.

Smart Sensors for the IoT: ADCs Fundamentals

Explores ADCs fundamentals for IoT smart sensors, covering quantization, non-idealities, and topologies.

Electrical Metrology: Noise Reduction Techniques

Explores noise reduction techniques in electrical metrology, covering properties of charge, current, voltage, noise sources, and filtering methods.

Analog and Digital Conversion

Explores analog and digital signal processing, A/D and D/A conversion, resolution, settling time, and digital interfaces in electronic circuits.

Noise Reduction Techniques in Analog Circuits

Explores noise and offset reduction techniques in analog circuits, focusing on Autozero and Chopper Stabilization.

Quantum and Nanocomputing

Explores quantum and nanocomputing, covering feedback amplifiers, ADCs, noise limitations, and ADC architectures.

Hardware Technologies and Applications

Explores hardware technologies, quantum electronics, cryogenic systems, quantum computing, and ADC architectures.

Electrical Metrology: Noise Reduction Techniques

Explores noise reduction, ADCs, TDCs, and time-resolved imaging in electrical metrology.

Quantization and Coding of Digital Signals

Explores quantization and coding of digital signals, discussing uniform quantization, error analysis, and signal-to-quantization noise ratio.

Digital Circuits: Logic Basics

Introduces digital circuits, covering binary systems, logic operators, Boolean algebra, memory elements, and practical examples like BCD decoders and shift registers.

FPGA Programming with Speedgoat: Real-Time Signal Processing

Focuses on implementing a square function generator using Speedgoat FPGA technology and real-time signal processing techniques.

Digitization: Neural Interfaces and Amplifiers

Explores digitization in neural interfaces, covering MOS models, CMOS amplifiers, noise factors, DC offset, and ADC basics.

Field Programmable Gate Arrays (FPGAs)

Covers the basic principles and architecture of Field Programmable Gate Arrays (FPGAs) and their implementation options for digital circuits.

Signals, Instruments, and Systems

Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.

Sampling: Signal Reconstruction and Aliasing

Covers the importance of sampling, signal reconstruction, and aliasing in digital representation.

Oversampled A-D Conversion

Covers oversampled analog-to-digital conversion and its impact on signal-to-noise ratio.

A/D and D/A Conversion Fundamentals

Covers the fundamentals of A/D and D/A conversion techniques and their implementation.

Programmable Logic Devices: PAL, GAL, CPLD

Covers PAL, GAL, CPLD, and the transition to FPGAs using HDLs.

Chopper Stabilization Techniques

Explores Chopper Stabilization (CHS) technique in Analog IC Design, focusing on noise reduction and offset minimization.

Low-Power Analog IC Design: Inversion Coefficient

Explores the concept of inversion coefficient in low-power analog IC design, emphasizing trade-offs for minimal power consumption.