EE Student Information

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EE Student Information, Spring Quarter through Academic Year 2020-2021: FAQs and Updated EE Course List.

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Graduate

AP 483 Seminar presents "Correlated photon physics in mesoscopic atomic chains"

Topic: 
Correlated photon physics in mesoscopic atomic chains
Abstract / Description: 

Tightly packed ordered arrays of atoms (or, more generally, quantum emitters) exhibit remarkable collective optical properties, as dissipation in the form of photon emission is correlated. In this talk, I will discuss the single-, few- and many-body out-of-equilibrium physics of 1D arrays, and their potential to realize versatile light-matter interfaces. For small enough inter-atomic distances, atomic chains feature dark states that allow for dissipationless transport of photons, behaving as waveguides for single-photon states. Atomic waveguides can be used to mediate interactions between impurity qubits coupled to the array, and allow for the realization of multiple paradigms in waveguide QED, from bandgap physics to chiral quantum optics [1]. Due to the two-level nature of the atoms, atomic waveguides are a perfect playground to realize strong photon-photon interactions. At the many-body level, I will address the open question of how the geometry of the array impacts the process of "Dicke superradiance", where fully inverted atoms synchronize as they de-excite, emitting light in a burst (in contrast to the exponential decay expected from independent emitters). While most literature attributes the quenching of superradiance to Hamiltonian dipole-dipole interactions, the actual culprits are dissipative processes in the form of photon emission into different optical modes. I will provide an understanding of the physics in terms of collective jump operators and demonstrate that superradiance survives at small inter-atomic distances [2]. I will finish my talk by discussing the implications of correlated photon emission for quantum information processing and metrology.

[1] S. J. Masson, A. Asenjo-Garcia, Atomic-waveguide Quantum Electrodynamics, arXiv: 1912.06234 (2019)

[2] S. J. Masson, I. Ferrier-Barbut, L. A. Orozco, A. Browaeys, A. Asenjo-Garcia, Many-body signatures of collective decay in atomic chains, arXiv: 2008.08139 (2020)


This seminar is sponsored by the department of Applied Physics and the Ginzton Laboratory.

Date and Time: 
Monday, November 9, 2020 - 4:15pm

AP 483 Seminar presents "Benchmarking quantum computers and future directions for superconducting quantum hardware"

Topic: 
Benchmarking quantum computers and future directions for superconducting quantum hardware
Abstract / Description: 

While the fully fault-tolerant universal quantum computing system is still many years ahead, building an early quantum computer with quantum advantage becomes a feasible near-term milestone that we can realistically plan. Increasing number of near-term applications has been accelerating the development of quantum hardware in the industries, and as quantum system size grows, we need a whole system metric to evaluate the level of hardware performance. I would like to introduce the quantum volume (arXiv:1811.12926 and more recently arXiv:2008.08571) as a system-level metric that quantifies quantum computational power of early quantum computing processors. The quantum volume depends on various individual component metrics such as gate fidelity and crosstalk. I will discuss some of the challenges in building superconducting quantum hardware and suggest few directions to improve the quantum volume.


This seminar is sponsored by the department of Applied Physics and the Ginzton Laboratory.

Date and Time: 
Monday, November 2, 2020 - 4:15pm

AP 483 Seminar presents "Quantum Technologies Enabled by Cavity-Optomechanics at Low Temperatures"

Topic: 
Quantum Technologies Enabled by Cavity-Optomechanics at Low Temperatures
Abstract / Description: 

The ability to fabricate devices that demonstrate quantum behavior, as opposed to being restricted to what nature has given us, has opened up the possibility of technologies based on the laws of quantum physics instead of classical physics. The prime example of this is the superconducting qubit at the core of a quantum processor. Another class of fabricated devices that are beginning to demonstrate quantum behavior is that of nanoscale mechanical resonators. Such devices promise force and torque sensors operating at or beyond the standard quantum limit, and novel technologies such as quantum-level wavelength transducers. I will tell you about our efforts to develop such technologies and some of the fun physics we have uncovered along the way.


This seminar is sponsored by the department of Applied Physics and the Ginzton Laboratory.

Date and Time: 
Monday, October 26, 2020 - 4:15pm
Venue: 
Zoom

AP 483 Seminar presents "Organic small molecule integrated photonics"

Topic: 
Organic small molecule integrated photonics
Abstract / Description: 

The initial, landmark integrated photonic devices relied on silicon and III-V materials, and recent advances in material fabrication and deposition methods have enabled a plethora of new technologies based on materials with higher optical nonlinearities, including 2D materials and organic polymers. However, nonlinear optical (NLO) organic small molecules have not experienced similar growth due to a perceived environmental instability and to challenges related to intra and intermolecular interactions. Because NLO small molecules have NLO coefficients that are orders of magnitude larger than conventional optical materials, developing strategies to fabricate optical devices could enable significant performance improvements. In recent work, we combined conventional top-down fabrication methods with bottom-up techniques to develop on-chip devices that incorporated NLO optical small molecules. These hybrid systems provide access to optical behavior and performance not attainable with conventional material systems. In this seminar, I will discuss a couple examples of NLO small molecule integrated resonators, including Raman lasers and all optically-switchable devices.


This seminar is sponsored by the department of Applied Physics and the Ginzton Laboratory.

Date and Time: 
Monday, October 19, 2020 - 4:15pm

AP 483 Seminar presents "Spin-photon interfaces for quantum networks"

Topic: 
Spin-photon interfaces for quantum networks
Abstract / Description: 

Spin-photon interfaces augmented with auxiliary qubits are prime candidates for quantum repeater nodes. I will present our theoretical work toward the realization of practical quantum repeaters, focusing on the triggered generation of highly entangled photonic (graph) states from a spin-photon interface and their performance-resource tradeoff in a network. I will also discuss our quantum control work on the selective high-fidelity control of a nuclear spin register coupled to an NV center spin in diamond.


This seminar is sponsored by the department of Applied Physics and the Ginzton Laboratory.

Date and Time: 
Monday, October 12, 2020 - 4:15pm

AP 483 Seminar presents "A Renaissance in Brillouin scattering"

Topic: 
A Renaissance in Brillouin scattering
Abstract / Description: 

Brillouin scattering was for many years confined to experiments in hundreds of metres of optical fibre, in which the spectrum was fixed and where Brillouin properties were almost identical to those of bulk materials. A recent renaissance in Brillouin scattering research has been driven by the increasing maturity of photonic integration platforms as well as advances in nanophotonics and nonlinear optics. A central problem to be solved in integrated applications has been the simultaneous confinement of the optical and acoustic waves. Traditional silicon nanowires confine light but do not confine sound and the group IV semiconductors are typically very stiff so that rib waveguides do not guide elastic waves. A first solution to the confinement problem, and the first demonstration of SBS in an integrated photonic environment, was found in the chalcogenide soft glass platform, where the high refractive index and low stiffness of As2Se3 glass allowed for confinement of both optical and elastic waves by total internal reflection, leading to strong Brillouin gain and a multitude of application possibilities. I will review the diverse array of strategies that have been used to enhance and shape Brillouin interactions within integrated photonic waveguide systems, as well as some of the goals and motivations of the growing field of integrated Brillouin photonics with particular emphasis on my group's research on developing compact microwave photonic functions.


 

This seminar is sponsored by the department of Applied Physics and the Ginzton Laboratory.

Date and Time: 
Monday, October 5, 2020 - 4:15pm

Workshop in Biostatistics presents "Interpretability and Human Validation of Machine Learning"

Topic: 
Interpretability and Human Validation of Machine Learning
Abstract / Description: 

As machine learning systems become ubiquitous, there is a growing interest in interpretable machine learning -- that is, systems that can provide human-interpretable rationale for their predictions and decisions. In this talk, I'll first give examples of why interpretability is needed in some of our work in machine learning for health, discussing how human input (which would be impossible without interpretability) is crucial for getting past fundamental limits of statistical validation. Next, I'll speak about some of the work we are doing to understand interpretability more broadly: what exactly is interpretability, and how can we assess it? By formalizing these notions, we can hope to identify universals of interpretability and also rigorously compare different kinds of systems for producing algorithmic explanations. Includes joint work with Been Kim, Andrew Ross, Mike Wu, Michael Hughes, Menaka Narayanan, Sam Gershman, Emily Chen, Jeffrey He, Isaac Lage, Roy Perlis, Tom McCoy, Gabe Hope, Leah Weiner, Erik Sudderth, Sonali Parbhoo, Marzyeh Ghassemi, Pete Szolovits, Mornin Feng, Leo Celi, Nicole Brimmer, Tristan Naumann, Rohit Joshi, Anna Rumshisky, Omer Gottesman, Emma Brunskill, Yao Liu, Sonali Parbhoo, Joe Futoma, and the Berkman Klein Center.

Date and Time: 
Thursday, November 19, 2020 - 2:30pm

Workshop in Biostatistics presents "Algorithm-assisted decision making in child welfare"

Topic: 
Algorithm-assisted decision making in child welfare
Abstract / Description: 

Every year, there are more than 4 million referrals made to child protection agencies across the US. The practice of screening calls is left to each jurisdiction to follow local practices and policies, potentially leading to large variation in the way in which referrals are treated across the country. While increasing access to linked administrative data is available, it is difficult for workers to make systematic use of historical information about all the children and adults on a single referral call. Jurisdictions around the country are thus increasingly turning to predictive modeling approaches to help distill this rich information. The end result is typically a single risk score reflecting the likelihood of a near-term adverse event. Yet the use of predictive analytics in the area of child welfare remains highly contentious. There is concern that some communities—such as those in poverty or from particular racial and ethnic groups—will be disadvantaged by the reliance on government administrative data. In this talk, I will describe some of the work we have done both in the lab and in the community as part of developing, deploying and evaluating a prediction tool currently in use in the Allegheny County Office of Children, Youth and Families.


Suggested Readings:
● Counterfactual risk assessment, evaluation, and fairness
● Toward algorithmic accountability in public services
● Decisions in the presence of erroneous algorithmic scores
● Excerpt from Virginia Eubanks' Automating Inequality

Date and Time: 
Thursday, November 12, 2020 - 2:30pm
Venue: 
Zoom ID 926 9609 8893 (+password)

Workshop in Biostatistics presents "Machine Learning in Real-world Healthcare Settings: How Far We've Come and Where We Are Going"

Topic: 
Machine Learning in Real-world Healthcare Settings: How Far We've Come and Where We Are Going
Abstract / Description: 

In this talk, I will discuss three real-world Health applications of Machine Learning research, the progress that we have made in deployment to hospitals or directly to individuals, and where we hope to be heading next. In the first part, I will discuss Sepsis Watch, our Sepsis prediction system that has been deployed to the emergency departments of Duke University hospitals. This system performs prediction for incoming patients through a combination of Gaussian Processes, which estimate patient features in continuous time from uneven measurements, and Recurrent Neural Networks. Next I discuss Graph-coupled HMMs, work that we have done making individual-level predictions of disease spread in a social network in influenza, and how this might affect prediction abilities in other diseases, such as Coronavirus. Lastly, I will discuss the iOS app developed to record data on people with Multiple Sclerosis outside of a clinic environment, what collected data and basic analyses imply for our ability to do symptom and subpopulation prediction in this setting, and where we are headed in the future.

Suggested Readings:

  • Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
  • Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study
  • Graph-Coupled HMMs for Modeling the Spread of Infection
  • Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data
  • Understanding MS Fatigue: Initial Subtype Discovery from the MS Mosaic Project
Date and Time: 
Thursday, November 5, 2020 - 2:30pm
Venue: 
Zoom ID 926 9609 8893 (+password)

Workshop in Biostatistics presents "Machine learning for personalised healthcare: a human-centred approach"

Topic: 
Machine learning for personalised healthcare: a human-centred approach
Abstract / Description: 

Machine learning advances are opening new routes to more precise healthcare, from the discovery of disease subtypes for stratified interventions to the development of personalised interactions supporting self-care between clinic visits. This offers an exciting opportunity for machine learning techniques to impact healthcare in a meaningful way. In this workshop, I will present recent work on probabilistic graphical modelling to enable a more personalised approach to healthcare. The underlying motivation of these methods is to understand patient heterogeneity in order to provide more personalised treatment and intervention strategies. An important element of developing these models is collaboration with domain experts such as social scientists who have a deep understanding of the user perspective of these algorithms. We will use motivating examples from mental healthcare and asthma and allergic diseases.


Suggested Readings:

  • "Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems."
  • "Dissecting racial bias in an algorithm used to manage the health of populations."
  • "Disaggregating asthma: big investigation versus big data."
  • "Developmental profiles of eczema, wheeze, and rhinitis: two population-based birth cohort studies."
  • "A machine learning approach to understanding patterns of engagement with internet-delivered mental health interventions."
Date and Time: 
Thursday, October 29, 2020 - 2:30pm

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