Global Arc

Semiclassical field theory of light-matter interactions (Maxwell-Bloch equations). Quantum theory of light, vacuum fluctuations and photons. Quantum states and coherence properties of the EM field, photon counting and interferometry. Quantum theory of light-matter interactions, Jaynes-Cummigns (JC) model. Physical realizations of JC model, case study:circuit QED. Quantum theory of damping. Resonance fluorescence. Coupled quantum non-linear systems: Lattice CQED, Superradiance

This course aims to introduce students to the basics of experimental quantum information processing. Students will gain hands-on experience with several qubit platforms, including single photons, nuclear spins (NMR), electron spins (NV centers in diamond), and superconducting qubits. Additionally, students will learn data analysis and signal processing techniques relevant for a wide range of quantum computing platforms.

This course provides an introduction to the state-of-the-art in photonic technology and systems, focusing on high performance fiber-optic telecommunication systems of silicon photonics. The basic physical principles and performance characteristics of optical fibers, lasers, detectors, optical amplifiers and dispersion management will be discussed. The design and performance analysis of photonic systems will be presented.

Introduction to nanotechnologies; threshold logic/majority logic and their applications to RTDs, QCA and SETs; nanowire based crossbars and PLAs; carbon nanotube based circuits; double-gate CMOS-based circuits; reversible logic for quantum computing; non-volatile memory; nanopipelining; testing; and defect tolerance. Two 90-minute lectures. Prerequisite: ELE 206.

Analysis and design of digital integrated circuits using deep sub-micron CMOS technologies as well as emerging and post-CMOS technologies (Si finFETs, III-V, carbon). Emphasis on design, including synthesis, simulation, layout and post-layout verification. Analysis of energy, power, performance, area of logic-gates, interconnect and signaling structures.

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Theory of digital computing systems. Topics include logic function decomposition, reliability and fault diagnosis, synthesis of synchronous circuits and iterative networks, state minimization, synthesis of asynchronous circuits, state-identification and fault detection, finite-state recognizers, definite machines, information lossless machines. Three hours of lectures. Prerequisite: 206.

Component-level issues related to testing and design/synthesis for testability of digital systems. Topics include test generation for combinational and sequential circuits, design and synthesis for testability, and built-in self-test circuits. Three hours of lectures. Prerequisite 206.

Blockchains are decentralized digital trust engines that are the underlying technology behind Web3, a loosely defined denotation of the Internet architecture in the years to come, including decentralization of the platform economy of the modern Internet (Web2). In this course, we conduct a full-stack study of blockchains, viewing them as a whole integrated computer system involving networking, incentives, consensus, data structures, cryptography and memory management. The course uses the Bitcoin architecture as a basis to construct the foundational design and algorithmic principles of blockchains.

Smartphones are the de-facto computing and communications devices of tomorrow. They can access any information in cyberspace and perform any computations through cloud computing and locally. We study smartphone design and security through an architectural perspective. Topics include smartphone system architecture; System-on-Chip design; heterogeneous and multicore processors; sensors, multimedia, communications and storage subsystems; basic security concepts; hardware and software security in smartphones; security vulnerabilities; use and abuse of built-in sensors; associated wearables and Internet-of-Things; and security improvements.