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X-ORIGINAL-URL:https://nwquantum.uw.edu
X-WR-CALDESC:Events for Northwest Quantum
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TZID:UTC
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TZOFFSETFROM:+0000
TZOFFSETTO:+0000
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DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260414T090000
DTEND;TZID=UTC:20260414T150000
DTSTAMP:20260423T214834
CREATED:20260220T170530Z
LAST-MODIFIED:20260220T170645Z
UID:2059-1776157200-1776178800@nwquantum.uw.edu
SUMMARY:NQN Northwest Quantum Day
DESCRIPTION:​Date: April 14. Doors open 8am\, Sessions from 9-3pm \n​Target Audience: policy makers and staff\, investors\, academia\, emerging technologists\, and the quantum curious. \n\n​Agenda: \n​9:00 to 9:15 Welcome \n​9:15 to 9:45  Keynote: Quantum in the Northwest \n​9:45 to 10:30 Panel: Government’s role in Quantum Economic Development \n​10:30 to 10:45 BREAK \n​10:45 to 11:45 Panel: Quantum in Industry: A look inside the Enterprise \n​11:45 to 12:15 Presentation: The Mission of Northwest Quantum Nexus \n​12:15 to 1:00 LUNCH \n​1:00 to1:45 Panel: Quantum Technology: The investable business model \n​1:45 to 2:00 Panel: Building a Quantum Workforce for the Northwest \n​2:00 to 3:00 Fireside chat: Special guest speaker \n​3:00 to 5:00 NETWORKING \n\n\n\n\n\nLocation\n\n\n\nPlease register to see the exact location of this event.\nSeattle\, Washington
URL:https://nwquantum.uw.edu/event/nqn-northwest-quantum-day/
LOCATION:Seattle\, WA
CATEGORIES:Conferences
ATTACH;FMTTYPE=image/avif:https://nwquantum.uw.edu/wp-content/uploads/2026/02/a6f53c88-8190-45fa-a897-72af164e4bac.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260319
DTEND;VALUE=DATE:20260323
DTSTAMP:20260423T214834
CREATED:20251223T053018Z
LAST-MODIFIED:20251223T053024Z
UID:1598-1773878400-1774223999@nwquantum.uw.edu
SUMMARY:KIMES Medical Exhibition
DESCRIPTION:Visit the official trade show page \nThe largest business network for medical experts in Korea. \nFor more information\, contact\nKarl Dahlgren
URL:https://nwquantum.uw.edu/event/kimes-medical-exhibition/
LOCATION:Seoul\, Seoul\, Korea\, Republic of
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/jpeg:https://nwquantum.uw.edu/wp-content/uploads/2025/12/KIMES-Blurb-Art.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260210T193000
DTEND;TZID=UTC:20260210T203000
DTSTAMP:20260423T214834
CREATED:20260115T115927Z
LAST-MODIFIED:20260115T120035Z
UID:2003-1770751800-1770755400@nwquantum.uw.edu
SUMMARY:Krysta Svore (NVIDIA): UW Public Lecture in Quantum Science and Engineering
DESCRIPTION:Dr. Krysta Svore\nVice President of Applied Research for Quantum Computing at NVIDIA \nFebruary 10 | 7:30 p.m. – 8:30 p.m.\nUW Seattle Campus\nKane Hall Auditorium – Room 130 \nDesigning the Accelerated Quantum Supercomputer: AI‑First\, Real‑Time Required \nAbstract: Quantum computing is often framed as a hardware challenge\, but the next breakthroughs will come from the fusion of AI\, advanced systems software\, and real‑time quantum–classical integration. As quantum processors scale\, the bottlenecks shift: calibration becomes a data problem\, decoding becomes an AI problem\, and system performance becomes a real‑time orchestration problem. This talk will explore how accelerated emulation\, AI‑driven calibration and decoding\, and ultra‑low‑latency quantum–classical links are redefining what a quantum computer is. These capabilities enable rapid iteration\, higher‑quality qubits\, and system‑level designs that were previously out of reach\, opening the door to architectures that can genuinely scale. By examining the emerging blueprint of an accelerated quantum supercomputer\, we will look at the key requirements for building such systems—from real‑time control to heterogeneous acceleration—and how advances across the ecosystem are bringing this future closer\, faster\, and with far greater impact than qubits alone could achieve. \nBio: Dr. Krysta Svore is Vice President of Applied Research for Quantum Computing at NVIDIA\, joining the company after 19 years at Microsoft\, where she served as Technical Fellow and VP of Advanced Quantum Development and pioneered reliable quantum computing through the co‑design of hardware\, software\, and error correction. She began her career developing machine learning methods for web search before founding Microsoft’s quantum computing software\, algorithms\, and architecture program.  She led efforts that brought the first quantum computers to Azure\, advanced state‑of‑the‑art quantum software and algorithms\, created an open‑source quantum software stack\, developed a scalable quantum architecture\, and in collaboration with Quantinuum and Atom Computing demonstrated the first logical qubits with better‑than‑physical error rates in 2024. She has published more than 70 refereed articles\, filed over 30 patents\, and is a fellow of the AAAS\, APS\, and WSAS\, as well as a Kavli Fellow of the National Academy of Sciences\, one of UNESCO’s Quantum100 leaders. Dr. Svore has advised the National Quantum Initiative\, the U.S. Department of Energy\, and DARPA\, and is internationally recognized for transforming foundational research into breakthrough technologies and for building and empowering high‑performing teams. She now brings her visionary leadership to NVIDIA to accelerate the future of quantum computing.
URL:https://nwquantum.uw.edu/event/krysta-svore-nvidia-uw-public-lecture-in-quantum-science-and-engineering/
CATEGORIES:Conferences
ATTACH;FMTTYPE=image/png:https://nwquantum.uw.edu/wp-content/uploads/2026/01/Krysta-Headshot-600x400-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260209
DTEND;VALUE=DATE:20260212
DTSTAMP:20260423T214834
CREATED:20251223T052717Z
LAST-MODIFIED:20251223T052717Z
UID:1591-1770595200-1770854399@nwquantum.uw.edu
SUMMARY:PNAA Advance 2026
DESCRIPTION:Visit the official 2025 show wrap-up page \nPacific Northwest Aerospace Alliance (PNAA) is a coalition of aerospace companies serving North America’s largest commercial aerospace manufacturing cluster which centers round growing segments in the Pacific Northwest. \nFor more information\, contact\nShannon McCarty
URL:https://nwquantum.uw.edu/event/pnaa-advance-2026/
LOCATION:Lynnwood\, Lynnwod\, WA\, United States
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/jpeg:https://nwquantum.uw.edu/wp-content/uploads/2025/12/PNAA-Advance-2026-blurb-art.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260203T133000
DTEND;TZID=UTC:20260203T143000
DTSTAMP:20260423T214834
CREATED:20260203T070806Z
LAST-MODIFIED:20260203T070806Z
UID:2021-1770125400-1770129000@nwquantum.uw.edu
SUMMARY:A Fault-Tolerant Neutral-Atom Architecture for Universal Quantum Computation
DESCRIPTION:Sasha Geim\, Harvard University\nQuantum error correction enables coherent computation on encoded logical qubits while simultaneously removing errors from the underlying physical qubits. Here we utilize reconfigurable arrays of up to 448 neutral atoms to experimentally explore the key elements of a fault-tolerant quantum processing architecture\, including below-threshold correction\, fault-tolerant gate operations\, universality\, and physical error removal during deep-circuit computation. We first demonstrate performance of 2.14(13)x below-threshold in a four-round characterization circuit on individual surface codes\, leveraging loss detection and machine learning decoding. We further explore the physics of repeated error correction in logical entanglement based on transversal gates and lattice surgery and extend to universal logic using transversal teleportation with 3D color codes for analog-angle synthesis. Finally\, we demonstrate a method for mid-circuit qubit re-use\, increasing the experimental cycle rate by two orders of magnitude and implementing deep-circuit protocols involving hundreds of logical teleportations while maintaining constant internal entropy. These results establish foundations for scalable\, universal error-corrected processing and its practical implementation with neutral atom systems.
URL:https://nwquantum.uw.edu/event/a-fault-tolerant-neutral-atom-architecture-for-universal-quantum-computation/
LOCATION:C421 Physics and Astronomy Building
CATEGORIES:Seminars
ATTACH;FMTTYPE=image/jpeg:https://nwquantum.uw.edu/wp-content/uploads/2026/02/1704937660411.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260128
DTEND;VALUE=DATE:20260129
DTSTAMP:20260423T214834
CREATED:20251223T045526Z
LAST-MODIFIED:20251223T045526Z
UID:1569-1769558400-1769644799@nwquantum.uw.edu
SUMMARY:Think Gov
DESCRIPTION:ThinkGov 2026 is the premier event for forward-thinking Federal IT decision-makers ready to maximize the ROI of AI and Quantum to drive meaningful\, measurable results in their agencies. You can find the IBM Quantum team in the Champions Club Exhibits and Activations room. Featured speakers include Joe Broz\, JR Rao\, Ray Harishankar\, and Travis Scholten.
URL:https://nwquantum.uw.edu/event/think-gov/
LOCATION:Washington\, Washington\, DC\, United States
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://nwquantum.uw.edu/wp-content/uploads/2025/12/industry-event-01.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260126
DTEND;VALUE=DATE:20260130
DTSTAMP:20260423T214834
CREATED:20251223T045210Z
LAST-MODIFIED:20251223T045210Z
UID:1564-1769385600-1769731199@nwquantum.uw.edu
SUMMARY:SCA/HPCAsia 2026
DESCRIPTION:Join us in Osaka as two leading conferences unite to create a premier forum for HPC collaboration. Under the theme “Everything with HPC – AI\, Cloud\, QC and the Future Society\,” the event brings together experts in AI\, cloud\, quantum computing\, and supercomputing to shape the future of computing. Visit IBM at Booth F11\, where we will showcase a model of IBM Quantum System Two\, and IBM experts will be on hand to discuss the latest advances in quantum computing and hybrid quantum-classical workflows. On Thursday\, January 29\, from 9:45–10:30 AM\, Jay Gambetta\, IBM Director of Research\, will deliver a keynote titled Beyond Quantum Advantage: The Future of Computing. In addition\, IBM will host its 1st Annual Asia-Pacific Workshop on Large-Scale Quantum Computing on January 29\, from 13:30–17:00. IBM will also participate in several tutorials and technical sessions—be sure to watch for these in the full conference program.
URL:https://nwquantum.uw.edu/event/sca-hpcasia-2026/
LOCATION:Osaka\, Japan
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://nwquantum.uw.edu/wp-content/uploads/2025/12/industry-event-01.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260126
DTEND;VALUE=DATE:20260127
DTSTAMP:20260423T214834
CREATED:20251223T045041Z
LAST-MODIFIED:20251223T045041Z
UID:1561-1769385600-1769471999@nwquantum.uw.edu
SUMMARY:Qiskit Community Call
DESCRIPTION:Working on a GitHub issue or PR for one of the Qiskit repositories? This community call is a space to connect directly with Qiskit maintainers to get unstuck\, ask technical questions\, share feedback\, or learn more about the reasoning behind recent project directions. You’re also welcome to just pass by to say hi 👋. There’s no need to stay for the full session; feel free to step in and out at any point during the hour. Join us to discuss your contributions\, explore ideas\, and help shape the future of Qiskit together.
URL:https://nwquantum.uw.edu/event/qiskit-community-call-2/
LOCATION:Discord
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://nwquantum.uw.edu/wp-content/uploads/2025/12/community-meetup-1.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260124
DTEND;VALUE=DATE:20260131
DTSTAMP:20260423T214834
CREATED:20251223T044642Z
LAST-MODIFIED:20251223T044800Z
UID:1556-1769212800-1769817599@nwquantum.uw.edu
SUMMARY:QIP
DESCRIPTION:
URL:https://nwquantum.uw.edu/event/qip/
LOCATION:Riga
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://nwquantum.uw.edu/wp-content/uploads/2025/12/industry-event-03.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260115T090000
DTEND;TZID=UTC:20260217T170000
DTSTAMP:20260423T214834
CREATED:20251230T042604Z
LAST-MODIFIED:20251230T044454Z
UID:1617-1768467600-1771347600@nwquantum.uw.edu
SUMMARY:TIQM 2026 Winter Workshop
DESCRIPTION:Venue: Alder Auditorium and Commons\, University of Washington campus\, Seattle \nRegistration: There is no registration fee and it is open to all. Please register by completing this form. \nHousing: The University Inn is recommended. All invited participants will be staying there. A discount rate is available until December 31 by following this link. \nTravel: From Seatac airport\, Link Light Rail takes you (in 47 minutes for $3.25) to the U District Station which is 0.4 miles from the hotel and 0.4 miles from Alder Hall. A taxi from Seatac costs about $70. The closest parking is in the Central Plaza garage. \nDescription: Open quantum systems range from condensed matter to trapped atom systems\, from theory to experiment\, and from fundamental science to applications. To create a uniquely stimulating environment in this workshop\, some invited participants will be asked to speak while others will be tasked with keeping the audience discussions lively.  \nSponsorship: TIQM activities are sponsored by the University of Washington Department of Physics\, Department of Materials Science and Engineering\, College of Arts and Sciences\, and College of Engineering. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nInvited Attendees\n\nAndrew Higginbotham \nNon-equilibrium Josephson Systems in One and Two Dimensions \n\nArchana Kamal \nDecoherence in the NISQ era: Dr. Jekyll and Mr. Hyde \n\nAleksander Kubica \nLayer codes as partially self-correcting quantum memories\n\nEli Levinson-Falk \nUnderstanding and harnessing decoherence for sensing and gate calibration \n\nYaodong Li \nSlow mixing from emergent one-form symmetries in three-dimensional Ising gauge theory \n\nAlex Ma \nControlling and probing quantum correlations with engineered dissipation \n\nKanu Sinha\nNon-Markovian collective dynamics of waveguide-coupled atoms\n\nRahul Trivedi \nOpen quantum systems beyond the Born Markov approximation \nEhud Altman\nJoshua Folk\nMichael Gullans\nMatthew Hastings\nDietrich Leibfried\nYuri Lensky\nSylvia Lüscher\nChristopher Monroe\n\n\n\n\n\n\n\n\n\n\n\nOrganizing Committee\n\n\n\n\n\n\n\n\n\nMo Chen\nYaodong Li\nCharles Marcus\nSara Mouradian\n\n\nHelpers\nTBD\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nProgram\n\n\nThursday Jan 15\n9.00 - 5.00\n\nFriday Jan 16\n9.00 - 5.00\nSaturday Jan 17\n9.00 - 1.00
URL:https://nwquantum.uw.edu/event/tiqm-2026-winter-workshop/
CATEGORIES:Workshops
ATTACH;FMTTYPE=image/png:https://nwquantum.uw.edu/wp-content/uploads/2025/12/unnamed.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260112
DTEND;VALUE=DATE:20260113
DTSTAMP:20260423T214834
CREATED:20251223T044325Z
LAST-MODIFIED:20251223T044325Z
UID:1552-1768176000-1768262399@nwquantum.uw.edu
SUMMARY:Qiskit Community Call
DESCRIPTION:Working on a GitHub issue or PR for one of the Qiskit repositories? This community call is a space to connect directly with Qiskit maintainers to get unstuck\, ask technical questions\, share feedback\, or learn more about the reasoning behind recent project directions. You’re also welcome to just pass by to say hi 👋. There’s no need to stay for the full session; feel free to step in and out at any point during the hour. Join us to discuss your contributions\, explore ideas\, and help shape the future of Qiskit together.
URL:https://nwquantum.uw.edu/event/qiskit-community-call/
LOCATION:Discord
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://nwquantum.uw.edu/wp-content/uploads/2025/12/community-meetup.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260104
DTEND;VALUE=DATE:20260108
DTSTAMP:20260423T214834
CREATED:20251223T053844Z
LAST-MODIFIED:20251223T053844Z
UID:1607-1767484800-1767830399@nwquantum.uw.edu
SUMMARY:Joint Mathematics Meetings 2026
DESCRIPTION:Join Pacific Northwest National Laboratory at the 2026 Joint Mathematics Meetings (JMM)! JMM is the world’s largest gathering of mathematics experts and professionals. The American Mathematical Society\, in collaboration with many partnering organizations\, will host this exciting annual event in Washington\, D.C. \nPNNL Organized Special Sessions\nAMS Special Session on Mathematics for AI Robustness\, Explainability\, and Safety\, I\nDate: January 4\, 2026 \nOrganizer: Scott Mahan  \nCo-Organizers: Eric Yeats\, Henry Kvinge\, and Tim Doster \nAnswering questions around the safety\, robustness\, and explainability of AI models is becoming increasingly critical. Mathematics helps us understand AI failure modes and make AI more transparent and reliable. This special session features mathematics research that analyzes and addresses AI assurance concerns\, showcasing areas such as algebraic geometry\, probability theory\, and computational topology\, which provide the insights required for AI systems to meet the needs of real-world applications. \nAMS Special Session on Augmenting\, not Automating: Machine Learning Tools for Mathematical Discovery\, I and II\nDate: January 5\, 2026  \nOrganizer: Helen Jenne \nCo-Organizers: Henry Kvinge and Max Vargas  \nThe last several years have seen an explosion of interest in the application of machine learning for mathematical discovery. This special session will consist of a morning session highlighting recent developments in this area\, followed by an interactive afternoon problem session. The afternoon session will begin with tool demonstrations\, leading into small group exploration of datasets that the organizers will provide using tools discussed earlier in the session. \nAMS Special Session on Mathematical Advances in Mission-Aligned Research\, I and II\nDate: January 7\, 2026 \nOrganizer: Emilie Purvine \nCo-Organizers: Brett Jefferson and Audun Myers \nThe U.S. Government has a wide range of mission priority areas\, including energy\, security\, health\, AI\, cybersecurity\, and more. Moreover\, these priorities come with unique challenges\, including scale\, temporal data\, and the need for transparent solutions. Mathematics\, both theoretical and applied\, plays a role in all these areas. This session will highlight advances in mathematics that have enabled progress in these areas to demonstrate the wide-ranging uses of mathematics. \nPNNL Presentations \nRetraining Emulation: A General Framework for Machine Unlearning\nDate: January 4\, 2026 \nPresenter: Yiran Jia \nAuthors: Eric Yeats and Scott Mahan \nAs large-scale models are increasingly deployed in sensitive domains\, there is a critical need for machine unlearning: the task of selectively removing the influence of a specific data subset from a trained model without the prohibitive cost of full retraining. The central challenge is to ensure complete removal of target information while preserving the model’s overall utility on remaining data. \nDetecting Collateral Damage in Unlearning for Diffusion-Based Image Generation Models\nDate: January 4\, 2026 \nPresenter: Aaron Jacobson \nAuthor: Scott Mahan \nRecent generative AI models have demonstrated remarkable growth in capabilities\, size\, and data requirements. As this technology continues to develop\, privacy and security risks associated with training these models on sensitive data become more common and harder to prevent. Retraining large generative models from scratch without sensitive data is cost-prohibitive; the field of machine unlearning seeks to provide cost- and time-efficient update methods to remove the effects of sensitive data without causing collateral damage to related\, non-sensitive data. To understand the effects of these methods\, we investigate the internal representations of data in large neural networks and diffusion-based generative models. We observe that the unlearning process induces changes in latent-space representations of data; importantly\, the local intrinsic dimension of data manifolds is increased when the corresponding classes of data are unlearned. Using this insight\, we propose a method to identify data that may be subject to collateral damage from unlearning and measure the degree to which they were affected. In the context of diffusion-based image generation\, this method works by sampling non-target images from the normal space of the target data manifold and projecting them to the space of natural images. The result is a collection of natural images that are close to the target data in latent space\, and these results can be captioned to produce a list of classes that may be collaterally damaged by unlearning. \nInvestigating Bijection Discovery with LLMs: A Case Study Using Catalan Objects\nDate: January 5\, 2026 \nPresenting Author: Helen Jenne \nRecent breakthroughs have highlighted the potential of large language models (LLMs) to advance mathematics by combining program synthesis with evolutionary search. Systems such as FunSearch seem to be particularly effective for combinatorial optimization problems\, such as the cap set problem\, where it is straightforward to verify a proposed solution. \nWe ask whether similar approaches can address the more creative challenge of bijection discovery. Finding bijections requires mathematical intuition and deep familiarity with the combinatorial objects of interest\, suggesting an opportunity for LLM-based systems that combine broad prior knowledge\, code-writing proficiency\, and the ability to do computational exploration at a scale far beyond what is possible for humans. We investigate this question using objects counted by the Catalan numbers\, with a pipeline based on OpenEvolve (an open-source analog of AlphaEvolve). In this talk\, we present our framework and progress\, and share key lessons learned. We will also give a brief overview of the AI-for-combinatorics efforts at Pacific Northwest National Laboratory\, highlighting the Algebraic Combinatorics Dataset Repository—a collection of datasets representing foundational results and open problems in algebraic combinatorics. This talk represents joint work with Davis Brown\, Herman Chau\, Jesse He\, Max Vargas\, Sara Billey\, Mark Raugas\, and Henry Kvinge. \nInformation Theory in a Variety of Contexts\nDate: January 5\, 2026 \nPresenting Author: William Kay \nI am a research mathematician who went from academia to a Federally Funded Research and Development Center. In this talk\, I will discuss how my background in information theory found a variety of applications across domain sciences. No background on information theory or applied science is necessary for the audience. \nModel Editing and Machine Unlearning for Mission Priorities\nDate: January 7\, 2026 \nPresenting Author: Scott Mahan \nAuthors: Henry Kvinge\, Tim Doster\, Eric Yeats\, Darryl Hannan\, Yiran Jia\, Aaron Jacobson\, and Wilson Fearn \nGenerative AI models are advancing rapidly and showcasing increasingly sophisticated capabilities\, making them useful in many U.S. government mission priorities. However\, the massive size of training datasets increases the likelihood of exposure to undesirable or flawed data\, potentially resulting in unwanted downstream model behaviors. Model editing and machine unlearning offer effective mechanisms for AI alignment\, enabling the modification of factual associations or the removal of problematic information from generative models. In this work\, we present mathematical innovations that enhance the effectiveness of model alignment techniques. Moreover\, we introduce methods to predict unexpected failures in aligned generative AI systems and propose strategies for mitigating these risks. To demonstrate the real-world impact of these advances\, we explore applications in areas critical to mission priorities\, such as cybersecurity\, where enhanced AI capabilities can strengthen defense mechanisms\, detect threats\, and safeguard sensitive data. \nEvaluation of AI Systems Beyond Accuracy and Leaderboards\nDate: January 7\, 2026 \nPresenting Author: Helen Jenne \nAuthors: Robert Jasper\, Henry Kvinge\, Sarah McGuire\, Grace O’Brien\, and Andrew Aguilar \nRecent years have seen dramatic advances in the capabilities of AI systems\, but our methods for ensuring these systems work correctly haven’t kept pace. Even before the explosion in use of generative AI\, we had limited understanding of failure modes\, performance nuances\, and unexpected behaviors. With generative models\, we face an even more fundamental challenge: it is difficult to specify what it means for a model to be correct. In this talk\, we will give an overview of current evaluation challenges and approaches and present frameworks we’ve developed to address these complex challenges. This represents joint work with Andrew Aguilar\, Robert Jasper\, Henry Kvinge\, Grace O’Brien\, and Sarah McGuire Scullen. \nA Topological View of Cyber Networks\nDate: January 7\, 2026 \nPresenting Author: Emilie Purvine \nCyber networks are incredibly complex systems. To study their operation and understand their current state\, we must be able to analyze the many data streams that are captured by logging services. These include (but are definitely not limited to!) network flow\, host\, process\, and authentication logs. There has been significant work in analyzing these data using graph models\, machine learning\, and natural language processing (NLP)-inspired methods. While these approaches have shown significant value\, they also have some drawbacks. Graph models may miss some of the complex interactions present between network entities like hosts\, users\, processes\, and protocols that show up in the log metadata. Machine learning can infer and extrapolate from very complex patterns\, but its reasoning can be difficult to communicate to an analyst user. And while NLP is very good at analyzing sequences of tokens\, such as those in cyber logs\, they may not take advantage of the structure in the logs themselves. To address some of these drawbacks\, I will provide examples where hypergraphs and a topological perspective have been able to derive valuable insight and situational awareness for cyber networks. Hypergraphs can capture the kinds of multi-way relationships among behaviors within cyber networks\, and topology can capture high-order structural properties that graph methods cannot. The results from hypergraph and topological analytics can be more interpretable for analysts as a consequence. \nComparison of Binaries Using Sequence Alignment\nDate: January 7\, 2026 \nPresenting Author: Brett Jefferson \nAuthor: Stephen Young \nComparing binary files of software (or firmware) has inherent challenges: register allocations can change\, reordering of code components due to optimizers and different compilers can change the binaries. This talk will present one method of comparison that borrows techniques from biology to measure the change between versioned binaries. \n  \nCareers at PNNL \nAs a national laboratory that conducts an abundance of research using advanced mathematics\, we are always searching for talented individuals looking to be a part of our mission. \n\n\n\n\n\nCareers at PNNL
URL:https://nwquantum.uw.edu/event/joint-mathematics-meetings-2026/
LOCATION:Washington\, Washington\, DC\, United States
CATEGORIES:Conferences
ATTACH;FMTTYPE=image/jpeg:https://nwquantum.uw.edu/wp-content/uploads/2025/12/NSD_2700_EVENT_JMM2026_WebHero.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260101
DTEND;VALUE=DATE:20260102
DTSTAMP:20260423T214834
CREATED:20251223T052550Z
LAST-MODIFIED:20251223T052550Z
UID:1588-1767225600-1767311999@nwquantum.uw.edu
SUMMARY:Japan Washington Innovators AI Meetup
DESCRIPTION:Dates TBD\nSeattle \nWashington State ICT Startups are able to meet with major Japanese multinational companies that are interested in acquiring innovative technologies. \nFor more information\, contact\nJulie Monahan
URL:https://nwquantum.uw.edu/event/japan-washington-innovators-ai-meetup/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/png:https://nwquantum.uw.edu/wp-content/uploads/2025/12/Japan-Seattle-AI-Meetup-blurb-art.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251231T210000
DTEND;TZID=UTC:20260101T010000
DTSTAMP:20260423T214834
CREATED:20251223T051448Z
LAST-MODIFIED:20251223T051644Z
UID:1580-1767214800-1767229200@nwquantum.uw.edu
SUMMARY:new year's eve\, thebizdev.club™ style
DESCRIPTION:​spend new year’s eve with thebizdev.club™\n​ring in the new year in style!\n​this’ll be Seattle’s premier nye party\, no doubt \n\n\n​fun \n\n\n​food \n\n\n​drinks \n\n\n​bizdev \n\n\n​yappin’ \n\n\n​games \n\n\n​??? \n\n\n​check back often here for updates to the event as they materialize
URL:https://nwquantum.uw.edu/event/new-years-eve-thebizdev-club-style/
LOCATION:Seattle\, WA
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/avif:https://nwquantum.uw.edu/wp-content/uploads/2025/12/ed2004bd-3c94-4b1b-88f2-59c8811f7aaa.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251119
DTEND;VALUE=DATE:20251121
DTSTAMP:20260423T214834
CREATED:20250929T180903Z
LAST-MODIFIED:20251020T193114Z
UID:1338-1763510400-1763683199@nwquantum.uw.edu
SUMMARY:Washington’s Quantum Future
DESCRIPTION:Policy Matters:  \nThe Quantum Frontier – Policy\, Power\, Possibility brings together leaders statewide to explore the future of quantum technology and its impact on Washington. Over two days of collaboration\, policy insight\, and big-picture thinking\, participants will shape how our region leads in this next frontier.
URL:https://nwquantum.uw.edu/event/washingtons-quantum-future/
CATEGORIES:Conferences
ATTACH;FMTTYPE=image/webp:https://nwquantum.uw.edu/wp-content/uploads/2025/09/PolicyMattersQuantum_SavetheDate_Square.webp
END:VEVENT
END:VCALENDAR