Abstract: The lecture will present elements from early history and make references to some of the giants in quantum computation, starting with Richard Feynman and Yuri Manin. It will then give a picture of the State of the Art today as far as available hardware is concerned after introducing some basic concepts: qubit, measurement, superposition and entanglement.
During his lifetime, Feynman (an American theoretical physicist) became one of the best known scientists in the world. Yuri Manin (a Russian mathematician) was known for work in algebraic geometry and diophantine geometry. Both of them independently advocated the idea of "computation grounded in physics", which led to the modern concept of quantum computation and the idea of storing and processing information.
The involvement of Mathematicians has been crucial since the beginning of quantum information science. It was another mathematician Peter Shor who in 1994 discovered a polynomial-time algorithm for factoring numbers igniting a flurry of activity that created the field of quantum information.
Coffee and snacks will be provided RSVP appreciated at: https://forms.gle/jYUa1v1NPN5VPyQs5
Abstract: Join us for a movie, pizza and discussion, while meeting others at UMD interested in quantum computing! Anyone curious about quantum technology and its applications is welcome, regardless of expertise.
Taming the Quantum World (46min) is a 2013 documentary by Lars Becker-Larsen about the development of quantum computers. At this movie night, we will watch the film, and follow it by small- and large-group critical discussion. We will delve into topics such as - What can audiences of different backgrounds get out of a film like this? - How is quantum computing represented in popular media (paying attention to accuracy and hype)? - How have our knowledge and perceptions about quantum computers changed in the 10 years since this film was made?
This event is co-organized by the IPST MathQuantum RTG and the Undergraduate Quantum Association
Abstract: RSVP required at https://forms.gle/jYUa1v1NPN5VPyQs5. Coffee and snacks will be provided.
Come explore how you could fit in the world of Quantum Information Science (QIS) research. In this workshop, we will guide you to map the connections between your existing interests/skills and QIS.
The event will consist of a short intro lecture, guided exercises, feedback on your ideas, informal presentations by participants, and group discussion. By the end of the workshop, you will have a draft QIS research question.
This event is primarily intended for two audiences: (i) Math grad students and postdocs who are curious to know more about QIS (ii) grad students and postdocs (any field) already working in QIS, who want to integrate more advanced Math into their work
Undergrad students in the two categories above are also welcome if they have good familiarity with doing literature searches.
Students/postdocs outside of Math/QIS are also welcome, but please let Daniel know ahead of time your intent to participate and your discipline.
Additional logistics: - Please bring a laptop to engage in all activities. - The workshop will be 2h long. - This workshop is limited capacity in order to allow for meaningful engagement. RSVP is required so we have a clear headcount. - Participants familiar with doing literature searches (using Web of Science, Google Scholar, ResearchRabbit, etc.) will be able to make the most out of this workshop. Participants without this familiarity are welcome, but we appreciate if you let Daniel know ahead of time that you might need assistance with this.
Abstract: The Distinguished Scholar-Teacher Program, established in 1978, honors a small number of faculty members each year who have demonstrated notable success in both scholarship and teaching. By honoring the Distinguished Scholar-Teachers with this prestigious award, we reaffirm our commitment to excellence in teaching and scholarship. The Distinguished Scholar-Teacher Program is sponsored by the Office of Academic Affairs and administered by the Associate Provost for Faculty Affairs.
Abstract: RSVP at https://forms.gle/jYUa1v1NPN5VPyQs5. Snacks and coffee will be provided.
In this session, three researchers will share how they entered the field of Quantum Information Science coming from a Mathematics background, followed by an overview of their current work at the intersection of these two disciplines.
Gorjan Alagic is an Associate Research Scientist at QuICS and UMIACS. His research lies at the intersection of theoretical computer science and mathematics, with a particular focus on quantum algorithms and cryptography. He previously held research positions at Caltech, the University of Waterloo, and the University of Copenhagen. He did his doctorate work with Alexander Russell at the University of Connecticut.
Dong An is a QuICS Hartree Postdoctoral Fellow in quantum information science. His research interests include quantum algorithms, computational quantum mechanics, and an interdisciplinary study on quantum computing and applied mathematics. He received his doctorate in Applied Mathematics from University of California, Berkeley in 2021.
Carl Miller is an Adjunct Associate Professor at QuICS and a Mathematician in the Computer Security Division at NIST. He studies new cryptography for the quantum era, including topics such as verifiable random number generation, quantum protocols between mutually mistrustful parties, and classical "postquantum" cryptography. Miller received a Ph. D. in Mathematics from Berkeley in 2007, followed by a research fellowship in the Electrical Engineering and Computer Science Department at the University of Michigan.
Abstract: Join us for Part 2 of this lecture, which will continue introducing quantum computing from a mathematical point of view.
Part 1 covered historical perspectives of math and computing that led to the current status of quantum computing. It then introduced some basic concepts like qubit, measurement, superposition and entanglement. To recap, you can access a recording at https://youtu.be/FMfjwVIBaws
RSVP at https://forms.gle/jYUa1v1NPN5VPyQs5. Coffee and snacks will be provided.
Abstract: Statistical physics is a branch of physics that uses probability theory in order to model physical systems with large numbers of particles. Foundational concepts and models from this subject have been used in a wide variety of fields, including AI and big data. In this talk, I will explore the properties of spin glasses, a model of disordered magnetic systems. I will go over many fundamental aspects of the physical behavior of spin glasses and the mixing and speed of some dynamics on spin glasses.
Abstract: Coffee and snacks will be provided RSVP appreciated but not needed: https://forms.gle/jYUa1v1NPN5VPyQs5
While Quantum Mechanics and General Relativity have been experimentally tested extensively, they stand as incompatible theories, challenging our fundamental understanding of the Universe. The quest to construct a consistent theory of Quantum Gravity stands at the frontier of research in theoretical physics. In the last few decades, concepts from Quantum Information Science, such as entanglement and complexity, have started playing a central role in this quest.
This seminar will provide an overview of the intersection between Quantum Information Science and Quantum Gravity at a popular science level. We will discuss black holes, entropy, information, the holographic principle, AdS/CFT correspondence, quantum entanglement, and quantum complexity, scraping the surface of deep connections between information and gravity.
Abstract: The world teems with examples of invasion, in which one steady state spatially invades another. Invasion can even display a universal character: fine details recur in seemingly unrelated systems. Reaction-diffusion equations provide a mathematical framework for these phenomena. In this talk, I will discuss recent examples of robust invasion patterns in reaction-diffusion equations, with an emphasis on multiple dimensions.
Abstract: Abstract: In the study of fluid dynamics, turbulence poses a significant challenge in predicting fluid behavior, and it remains a mystery for mathematicians and physicists alike. Recently, there has been some exciting progress in our understanding of ideal turbulence: starting from Onsager’s theorem to the resolution of strong Onsager's conjecture in $L^3$-framework. These developments have been accompanied by mathematical advances in Nash’s iteration. In this talk, I will provide an overview of turbulence and discuss these results.
Abstract: The local Langlands correspondence, proposed by Langlands as the non-abelian analogue of local class field theory for non-Archimedean local fields, has been established for various reductive groups over the years. However, a construction in full generality was lacking until the recent proposal by Fargues and Scholze, who introduced semi-simplified Langlands parameters for every reductive group. Their construction employs Scholze's theory of diamonds, a modern approach to p-adic analytic geometry. This talk begins by revisiting historical developments in number theory that led to the formulation of the local Langlands correspondence. Subsequently, we explore the relevance of p-adic analytic geometry to the study of the local Langlands program and the impact these innovative methods have on our comprehension of the local Langlands correspondence.
Abstract: RSVP for Zoom link at https://forms.gle/jYUa1v1NPN5VPyQs5
This panel will host 5 researchers working in QIS outside of the academic setting to share about their careers, work, and experiences.
Dr. Nicolas Delfosse is a Principal Researcher working on quantum error correction and fault-tolerant quantum computing. After 6 years at Microsoft, he joined IonQ in December 2023 to lead the work on designing the architecture for a fault-tolerant quantum machine. Nicolas obtained a PhD degree in Pure Mathematics from the University of Bordeaux, France, under the supervision of Gilles Zémor. Then, he joined Ecole Polytechnique supported by the LIX-Qualcomm fellowship to work with Alain Couvreur. I held a postdoc position at Sherbrooke University in the group of David Poulin and a postdoc position shared between UCR and Caltech in the groups of Leonid Pryadko and John Preskill.
Dr. Hari Krovi works on various aspects of quantum computing and quantum algorithms. He has a PhD from USC and has worked in Raytheon BBN Technologies for several years before recently joining Riverlane (a quantum start-up). At Raytheon, Hari was the lead on several US grants on quantum computing and quantum communications. At Riverlane, he leads a team working on quantum algorithms and analyzing the effect of noise in quantum hardware. He has several publications including ones in high impact journals such as Nature and PNAS. Many of these are results of collaborations with leading institutions such as MIT, the University of Maryland and the University of Sydney.
Dr. Michelle Lollie is an advanced laser scientist at Quantinuum, supporting the design, development, and construction of complex optical systems foundational to building world class quantum computers. She completed her PhD in Physics at Louisiana State University where her research focused on high-dimensional orbital angular momentum states of light for fiber-based quantum cryptography and communication protocols. She participates in various diversity, equity, inclusion, and accessibility initiatives, advocating for those who are marginalized in STEM fields, particularly in physics. Outside of wrangling photons, you can often find her at home practicing the violin.
Dr. Aaron Lott is a senior interdisciplinary scientist and technical area lead in the Research Institute of Advanced Computer Science at USRA. He is a research staff member of the NASA Ames Quantum Artificial Intelligence Laboratory, and an adjunct associate professor at IPST in UMD College Park where he teaches a masters course in quantum computing algorithms and architectures. Aaron earned his Ph.D. in applied mathematics and scientific computation at UMD College Park, and performed post-doctoral research at the NIST and Lawrence Livermore National Laboratory where he worked on scalable solvers for models of fluid flow. Aaron manages USRA’s portfolio of research in collaboration with around 40 USRA scientists & engineers across emerging sensors, machine learning methods and applications and computing architectures, including groups in nanodevices, core data sciences, environmental data science and quantum computing and space life sciences.
Dr. Tuhin Sahai is a Principal Research Scientist at SRI International broadly interested in the verification, optimization, design, and analysis (VODA) of complex interconnected systems in the presence of uncertainty. His projects have spanned the areas of uncertainty quantification, discrete optimization, and quantum computation. He enjoys working at the interface of multiple disciplines and finding common themes and connections. Prior to joining SRI, Dr. Sahai spent 15 years at Raytheon Technologies Research Center (RTRC) where he held positions of increasing responsibility, culminating in the role of a Technical Fellow. He earned his Ph.D. in January 2008 from Cornell University, where he was a McMullen Fellow and won the H.D. Block teaching award. Dr. Sahai received his Master’s and Bachelor’s in Aerospace Engineering from the Indian Institute of Technology, Bombay in 2002.
Abstract: A negative control outcome (NCO) is an outcome that is associated with unobserved confounders of the effect of a treatment on an outcome in view, and is a priori known not to be causally impacted by the treatment. In the first half of the talk, we discuss the single proxy control (SPC) framework, a formal NCO method to detect and correct for residual confounding bias. We establish nonparametric identification of the average causal effect for the treated (ATT) by treating the NCO as an error-prone proxy of the treatment-free potential outcome, a key assumption of the SPC framework. We characterize the efficient influence function for the ATT under a semiparametric model in which nuisance functions are a priori unrestricted. Moreover, we develop a consistent, asymptotically linear, and locally semiparametric efficient estimator of the ATT using modern machine learning theory.
Shifting to the second half of the talk, we introduce the single proxy synthetic control (SPSC) framework, an extension of the SPC framework designed for a synthetic control setting, where a single unit is treated and pre- and post-treatment time series data are available on the treated unit and a heterogeneous pool of untreated control units. Similar to SPC, the SPSC framework views the outcomes of untreated control units as proxies of the treatment-free potential outcome of the treated unit, a perspective we formally leverage to construct a valid synthetic control. Under this framework, we establish alternative identification and estimation methodology for synthetic controls and, in turn, for the ATT. Additionally, we adapt a conformal inference approach to perform inference on the treatment effect, obviating the need for a large number of post-treatment data. We illustrate the SPC and SPSC approaches with real-world applications from the Zika virus outbreak in Brazil and the 1907 financial crisis.
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