EE Student Information

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 EE Student Information, Spring & Summer Quarters 19-20: FAQs and Updated EE Course List.

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Graduate

Q-FARM presents "Topological error correction in linear optical quantum computing"

Topic: 
Topological error correction in linear optical quantum computing
Abstract / Description: 

In linear optical quantum computing qubits do not fundamentally interact, and yet via measurement complex entanglement can be constructed to implement quantum error corrected computation via topological codes. As a hardware platform for quantum computation linear optics offers unique flexibility in the options for building up topological error correcting schemes. Some interesting examples are the long range connectivity which is straightforward in a photonic architecture, and the ability to move qubits around in temporal as well as spatial dimensions. I will give an overview of quantum computing with silicon photonics and demonstrate how these physical features of the photonic approach can inspire novel schemes for fault tolerance.

Date and Time: 
Monday, May 11, 2020 - 11:05am to 12:05pm
Venue: 
Zoom id: 987-676-025

SystemX presents "Design and demonstration of on-chip integrated laser-driven particle accelerators"

Topic: 
Design and demonstration of on-chip integrated laser-driven particle accelerators
Abstract / Description: 

Particle accelerators represent an indispensable tool in science, healthcare, and industry. However, the size and cost of conventional radio-frequency accelerators limits the utility and reach of this technology. Dielectric laser accelerators (DLAs) provide a compact and cost-effective solution to this problem by driving accelerator nanostructures with visible or near-infrared (NIR) pulsed lasers, resulting in a factor of 10,000x reduction in scale. Current implementations of DLAs rely on free-space lasers directly incident on the accelerating structures, limiting the scalability of this technology due to the need of bulky optics and precise mechanical alignment. Therefore, integration with an inherently scalable architecture, such as photonic integrated circuits, is paramount to the development of an MeV-scale DLA for applications.

In this talk, I will present the demonstration of a waveguide-integrated DLA, designed using a photonic inverse design approach. I will first review the operation of DLAs and describe how one can formulate a figure-of-merit for the optimization of these structures. I will then briefly introduce the inverse design framework that allows for efficient free-form optimization of these structures, enabling search of a design-space that goes far beyond that of the tuning of a few geometric parameters. I will discuss the approaches we take to couple light to these devices before presenting the results of our single-stage on-chip integrated accelerator. I will conclude with the directions we are taking to reach higher on-chip acceleration gradients and energy-gain, including utilizing foundry fabrication for multi-stage accelerators.

Date and Time: 
Thursday, May 14, 2020 - 4:30pm
Venue: 
Zoom Meeting ID: 865 305 030

OSA/SPIE, SPRC and Ginzton Lab present "Next Generation Photonics"

Topic: 
Next Generation Photonics
Abstract / Description: 

Over the past few decades, silicon photonics has revolutionized photonic integrated circuits by leveraging the semiconductor CMOS manufacturing infrastructure for low cost, high performance devices and systems. However, key fundamental challenges of the field remain unsolved: packaging the devices with optical fibers and generating light on chip.

We developed a novel approach for fiber packaging based on fusing the fiber and chip together. Connecting a silicon photonic chip across long distances requires attaching optical fibers to the chip. In practice, the packaging of optical fibers to photonic devices is time consuming, lossy, and expensive. This process is usually done by gluing the fiber and chip together using optical adhesives. By fusion splicing the chip and fiber together we have demonstrated losses as low as 1dB for single fibers and 2.5dB for an array of four fibers.

Imagine a laser as thick as an atom that is compatible with silicon photonics. Silicon based materials are passive. Since silicon is an indirect band gap material it is a poor light emitter. To generate light on a silicon photonic integrated circuit, you need to integrate active materials, which are usually not compatible with CMOS, with the device. Two-dimensional materials are excellent candidates for light sources, modulators, and detectors; and they are compatible with CMOS electronic manufacturing in the back end. We recently demonstrated the first fully on-chip 2D laser. Due to their thickness and transfer process, we envision electronic-photonic devices with many optical layers, each with their own lasers, modulators, and detectors based on 2D materials. Our recent demonstration completes the set of active devices completely based on 2D materials.


Password: 017994

Date and Time: 
Wednesday, May 6, 2020 - 1:00pm
Venue: 
Zoom ID: 991 2584 9377

SystemX BONUS LECTURE: Next Generation Neural Interfaces: From flexible neural probes to virtual optical waveguides

Topic: 
Next Generation Neural Interfaces: From flexible neural probes to virtual optical waveguides
Abstract / Description: 

Understanding the neural basis of brain function and dysfunction requires developing multimodal methods to record and stimulate neural activity in the brain with high spatiotemporal resolution. We have been designing high-density opto-electrical devices to enable bi-directional (read/write) interfacing with the brain for long-term chronic studies.

One of the challenges of optical techniques for structural and functional recording and imaging is the scattering and absorption of light, limiting light-based methods to superficial layers of tissue. To overcome this challenge, implantable photonic waveguides such as optical fibers or graded-index (GRIN) lenses have been used. The prohibitive size and rigidity of these optical implants cause damage to the brain tissue and vasculature. In this talk, I will discuss our research on developing next generation optical neural interfaces that are microfabricated on flexible materials to minimize damage to the tissue.

First, I will discuss a compact flexible photonic platform based on biocompatible polymers, Parylene C and PDMS, for high-resolution light delivery into the tissue in a minimally-invasive way. This photonic platform can be monolithically integrated with implantable electrical neural interfaces.

I will also discuss our recent work on developing a novel complementary method for confining and steering light in the tissue using ultrasound. I will show that ultrasound waves can sculpt virtual optical waveguides in the tissue to define and steer the trajectory of light, thus obviating the need for implanting invasive physical devices in the brain.

These novel neurophotonic techniques will enable a whole gamut of applications from fundamental science studies to designing next generation neural prostheses.

Date and Time: 
Monday, May 11, 2020 - 4:30pm
Venue: 
Zoom Meeting ID: 392 095 709

SmartGrid Seminar presents "Cyber Security Research: A Data Scientist’s Perspective"

Topic: 
Cyber Security Research: A Data Scientist’s Perspective
Abstract / Description: 

Situational awareness of computer networks presents many challenges including but not limited to the volume of the data and the dynamic and evolving nature of the problem space. For example, at the perimeter of a corporate enterprise computer network, it is common to see terabytes of network traffic each day, containing millions of unique IP addresses and connection records that number in the hundreds of millions. Celeste will provide an overview and discuss recent trends facing computer security researchers and practitioners. She will describe recent work at Lawrence Livermore National Laboratory to enable analysis of computer networks and encourage an interactive discussion to foster new ideas to address these challenges.

Date and Time: 
Thursday, May 7, 2020 - 1:30pm
Venue: 
Register at tinyurl.com/Spring-SGS

Terman Engineering Library's Popular Science Book Club meet-up

Topic: 
When: The Scientific Secrets of Perfect Timing
Abstract / Description: 

"When: the Scientific Secrets of Perfect Timing" by Daniel H. Pink
Instant New York Times Bestseller
#1 Wall Street Journal Business Bestseller
Instant Washington Post Bestseller


 

Daniel H. Pink unlocks the scientific secrets to good timing to help you flourish at work, at school, and at home. Everyone knows that timing is everything. But we don't know much about timing itself. Our lives are a never-ending stream of "when" decisions: when to start a business, schedule a class, get serious about a person. Yet we make those decisions based on intuition and guesswork. Timing, it's often assumed, is an art. In "When: The Scientific Secrets of Perfect Timing", Pink shows that timing is really a science.

Drawing on a rich trove of research from psychology, biology, and economics, Pink reveals how best to live, work, and succeed. How can we use the hidden patterns of the day to build the ideal schedule? Why do certain breaks dramatically improve student test scores? How can we turn a stumbling beginning into a fresh start? Why should we avoid going to the hospital in the afternoon? Why is singing in time with other people as good for you as exercise? And what is the ideal time to quit a job, switch careers, or get married? In "When", Pink distills cutting-edge research and data on timing and synthesizes them into a fascinating, readable narrative packed with irresistible stories and practical takeaways that give readers compelling insights into how we can live richer, more engaged lives.

Date and Time: 
Thursday, May 14, 2020 - 5:00pm
Thursday, June 4, 2020 - 5:00pm
Venue: 
Zoom (join mail list for link)

OSA/SPIE with SPRC and Ginzton Lab present "Next Generation Photonics"

Topic: 
Next Generation Photonics
Abstract / Description: 

Over the past few decades, silicon photonics has revolutionized photonic integrated circuits by leveraging the semiconductor CMOS manufacturing infrastructure for low cost, high performance devices and systems. However, key fundamental challenges of the field remain unsolved: packaging the devices with optical fibers and generating light on chip.

We developed a novel approach for fiber packaging based on fusing the fiber and chip together. Connecting a silicon photonic chip across long distances requires attaching optical fibers to the chip. In practice, the packaging of optical fibers to photonic devices is time consuming, lossy, and expensive. This process is usually done by gluing the fiber and chip together using optical adhesives. By fusion splicing the chip and fiber together we have demonstrated losses as low as 1dB for single fibers and 2.5dB for an array of four fibers.

Imagine a laser as thick as an atom that is compatible with silicon photonics. Silicon based materials are passive. Since silicon is an indirect band gap material it is a poor light emitter. To generate light on a silicon photonic integrated circuit, you need to integrate active materials, which are usually not compatible with CMOS, with the device. Two-dimensional materials are excellent candidates for light sources, modulators, and detectors; and they are compatible with CMOS electronic manufacturing in the back end. We recently demonstrated the first fully on-chip 2D laser. Due to their thickness and transfer process, we envision electronic-photonic devices with many optical layers, each with their own lasers, modulators, and detectors based on 2D materials. Our recent demonstration completes the set of active devices completely based on 2D materials.

Date and Time: 
Monday, May 4, 2020 - 12:05pm
Venue: 
Zoom ID: 991 2584 9377 (contact organizers for password)

Applied Physics/Physics Colloquium presents "New roles for wormholes"

Topic: 
New roles for wormholes
Abstract / Description: 

A powerful idea in theoretical physics is the conjecture that (from a distance) black holes behave like ordinary quantum systems. Thought of in this way, black holes display many deep quantum phenomena in simple but often surprising ways. We will discuss recent work (involving wormholes) that gives new examples of this and also uncovers new puzzles.

Date and Time: 
Tuesday, May 5, 2020 - 4:30pm
Venue: 
Zoom Meeting ID: 954 8449 2474

Statistics Department Seminar presents "Performative prediction"

Topic: 
Performative prediction
Abstract / Description: 

When predictions support decisions they may influence the outcome they aim to predict. We call such predictions performative the prediction influences the target. Performativity is a well-studied phenomenon in policy-making that has so far been neglected in supervised learning. When ignored, performativity surfaces as undesirable distribution shift, routinely addressed with retraining. We develop a risk minimization framework for performative prediction bringing together concepts from statistics, game theory, and causality. A conceptual novelty is an equilibrium notion we call performative stability. Performative stability implies that the predictions are calibrated not against past outcomes, but against the future outcomes that manifest from acting on the prediction. Our main results are necessary and sufficient conditions for the convergence of retraining to a performatively stable point of nearly minimal loss. In full generality, performative prediction strictly subsumes the setting known as strategic classification. We thus also give the first sufficient conditions for retraining to overcome strategic feedback effects.

This is joint work with Juan C. Perdomo, Tijana Zrnic, and Celestine Mendler-Dünner, and is available from Arxiv.

Date and Time: 
Tuesday, May 12, 2020 - 4:30pm
Venue: 
Zoom

Statistics Department Seminar presents "Optimal procedures in private estimation"

Topic: 
Optimal procedures in private estimation
Abstract / Description: 

In this talk, I will review private procedures (typically called mechanisms) for releasing functions of a sample, focusing on differential privacy and related strong definitions of privacy. I will describe mechanisms that enjoy instance-optimal — meaning that in a strong sense, they achieve the best possible behavior for the given problem instance — guarantees. On the methodological side, I will highlight a few examples, including median estimation and statistical risk minimization. On the more theoretical side, I will describe techniques for giving such instance-optimal bounds, highlighting the desiderata I believe one must satisfy for an optimality result to truly mean optimal.

This is based on joint work with Hilal Asi and Feng Ruan.

Date and Time: 
Tuesday, May 5, 2020 - 4:30pm
Venue: 
Zoom

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