BEGIN:VCALENDAR VERSION:2.0 PRODID:-//UW QuantumX - ECPv6.15.20//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:UW QuantumX X-ORIGINAL-URL:https://www.quantumx.washington.edu X-WR-CALDESC:Events for UW QuantumX REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20240310T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20241103T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20250309T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20251102T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20260308T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20261101T090000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251202T133000 DTEND;TZID=America/Los_Angeles:20251202T150000 DTSTAMP:20260502T003520 CREATED:20251202T182819Z LAST-MODIFIED:20251209T195015Z UID:7661-1764682200-1764687600@www.quantumx.washington.edu SUMMARY:Separating QMA and QCMA with a classical oracle\, Chinmay Nirkhe DESCRIPTION:Abstract:  \n\n\n\nWe construct a classical oracle proving that\, in a relativized setting\, the set of languages decidable by an efficient quantum verifier with a quantum witness (QMA) is strictly bigger than those decidable with access only to a classical witness (QCMA). The separating classical oracle we construct is for a decision problem we coin spectral Forrelation — the oracle describes two subsets of the boolean hypercube\, and the computational task is to decide if there exists a quantum state whose standard basis measurement distribution is well supported on one subset while its Fourier basis measurement distribution is well supported on the other subset. This is equivalent to estimating the spectral norm of a “Forrelation” matrix between two sets that are accessible through membership queries. \n\n\n\nOur lower bound derives from a simple observation that a query algorithm with a classical witness can be run multiple times to generate many samples from a distribution\, while a quantum witness is a “use once” object. This observation allows us to reduce proving a QCMA lower bound to proving a sampling hardness result\, which does not simultaneously prove a QMA lower bound. To prove said sampling hardness result for QCMA\, we observe that quantum access to the oracle can be compressed by expressing the problem in terms of bosons — a novel “second quantization” perspective on compressed oracle techniques\, which may be of independent interest. Using this compressed perspective on the sampling problem\, we prove the sampling hardness result\, completing the proof. \n\n\n\nJoint work with John Bostanci\, Jonas Haferkamp\, and Mark Zhandry: https://arxiv.org/abs/2511.09551  URL:https://www.quantumx.washington.edu/calendar/separating-qma-and-qcma-with-a-classical-oracle/ CATEGORIES:Computer Science & Engineering END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251202T133000 DTEND;TZID=America/Los_Angeles:20251202T133000 DTSTAMP:20260502T003520 CREATED:20251114T235244Z LAST-MODIFIED:20251209T195032Z UID:5736-1764682200-1764682200@www.quantumx.washington.edu SUMMARY:Caged Superconductivity Flat Bands and 2D Topological Matter\, Charles Marcus DESCRIPTION:Caged Superconductivity Flat Bands and 2D Topological Matter\nPAT C-421\nSeminars\nhttps://phys.washington.edu/events/2025-12-02/caged-superconductivity-flat-bands-and-2d-topological-matter URL:https://www.quantumx.washington.edu/calendar/caged-superconductivity-flat-bands-and-2d-topological-matter/ LOCATION:PAT C-421 CATEGORIES:Materials Science & Engineering,Seminars END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251201T160000 DTEND;TZID=America/Los_Angeles:20251201T160000 DTSTAMP:20260502T003520 CREATED:20251117T182509Z LAST-MODIFIED:20251209T195118Z UID:5733-1764604800-1764604800@www.quantumx.washington.edu SUMMARY:High rank multipole order feeling the strain\, Ian Fisher DESCRIPTION:Speaker: Ian Fisher\, Stanford University\nInteractions can lead to a wide variety of ordered states in materials. Phase transitions in which local atomic states develop spontaneous high rank multipole order provides a particularly rich arena for new insights. A key element in the study of such systems is the ability to couple to the associated order parameter. At its heart\, this colloquium will be about symmetry and thermodynamics.I will describe how one can couple to a variety of different multipolar states\, motivating new methodologies to measure a fundamental thermodynamic material property\, the multipole susceptibility. One can also identify effective transverse fields\, which\, when applied inside the ordered state\, induce quantum fluctuations and can drive a multipolar quantum phase transition. I will explain the very special roles that strain can play for each of the cases\, and will outline new experimental approaches in which the materials ‘feel the strain’ in different ways.Even while we manipulate the crystal lattice to tune electronic order\, hyperfine interactions are not always completely innocent. Along the way I will introduce the special case of an electro-nuclear quantum phase transition.And finally\, the confluence of new measurement techniques and new materials also leads to possibilities for new applications; I will briefly outline one such application\, based on a giant elastocaloric effect. Multipolar order\, it would seem\, is not only interesting from a fundamental perspective\, but can also be useful. Video Link (requires UW NetID) URL:https://www.quantumx.washington.edu/calendar/high-rank-multipole-order-feeling-the-strain/ LOCATION:Physics/Astronomy Auditorium – PAA A-102\, 3910 15th Ave NE\, Seattle\, WA\, 98105\, United States CATEGORIES:Materials Science & Engineering END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251125T133000 DTEND;TZID=America/Los_Angeles:20251125T133000 DTSTAMP:20260502T003520 CREATED:20251117T182525Z LAST-MODIFIED:20251209T194647Z UID:5732-1764077400-1764077400@www.quantumx.washington.edu SUMMARY:Framework for Quantum Simulations of Energy Loss in Non Abelian Gauge Theories SU 2 Lattice Gauge Theory in 1+1D\, Zhiyao Li DESCRIPTION:Framework for Quantum Simulations of Energy Loss in Non Abelian Gauge Theories SU 2 Lattice Gauge Theory in 1 1DPAT C-421Seminarshttps://phys.washington.edu/events/2025-11-25/framework-quantum-simulations-energy-loss-non-abelian-gauge-theories-su-2-lattice URL:https://www.quantumx.washington.edu/calendar/framework-for-quantum-simulations-of-energy-loss-in-non-abelian-gauge-theories-su-2-lattice-gauge-theory-in-1-1d/ LOCATION:PAT C-421 CATEGORIES:Physics END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251124T143000 DTEND;TZID=America/Los_Angeles:20251124T152000 DTSTAMP:20260502T003520 CREATED:20251120T223906Z LAST-MODIFIED:20251124T200112Z UID:7250-1763994600-1763997600@www.quantumx.washington.edu SUMMARY:MSE Seminar: Peter Sushko DESCRIPTION:Event interval: Single day eventCampus room: IEB G106Accessibility Contact: Matthew Yankowitz\, myank@uw.eduEvent Types: Lectures/Seminars \nTitle: Understanding and Controlling Interfacial Constraints for Predictive Materials Synthesis \nAbstract: Advancements in materials for energy functions and novel computing devices rely on mastering synthesis processes to achieve precise control over material structures and properties. In this seminar\, I will examine the pivotal role of interfacial constraints in determining the structure and functionality of materials\, emphasizing the need for a detailed understanding of their atomic- scale origins—from interactions and strain to structural inhomogeneity and compositional Variability. \nI will present case studies illustrating this need. First\, I will discuss how interfacial bonding and strain can control the crystallographic orientations of PdO\, Pd\, and Ta—materials vital for catalysis and superconducting qubits. I will also explore the role of subsurface interactions by showcasing how interstitial Te atoms in WTe 2 promote monodispersed Pd cluster formation and how subsurface H atoms influence the catalytic properties of Pd nanostructures. Finally\, I will highlight the role of internal interfaces\, such as grain boundaries\, in facilitating these processes. These examples underscore the importance of understanding atomic-scale deviations in crystallographic and compositional order\, controlling these deviations\, and leveraging them to guide the synthesis and transformation of functional materials. \nBio: Dr. Peter Sushko is a computational materials scientist in the Physical Sciences Division at Pacific Northwest National Laboratory (PNNL). He earned his BSc and MSc degrees in physics from St. Petersburg State University\, Russia. He then completed his PhD in physics at University College London (UCL)\, UK\, where he developed an embedded cluster approach to simulate the electronic properties of point defects in ionic materials. In 2008\, Dr. Sushko was awarded a Royal Society University Research Fellowship and joined the UCL Department of Physics and Astronomy as a Lecturer\, subsequently becoming a Reader. In 2014\, he joined PNNL as the leader of the Materials Sciences group in the Physical Sciences Division. In 2021\, he became the coordinator for the DOE Office of Sciences Basic Energy Sciences\, Materials Sciences and Engineering sector at PNNL. His research focuses on uncovering atomic-scale mechanisms of defect formation and transport\, as well as predicting how disorder and defects influence material properties and functions. He has co-authored over 220 peer-reviewed papers on the physical and chemical properties of nanostructured materials and interfacial phenomena. URL:https://www.quantumx.washington.edu/calendar/mse-seminar-peter-sushko/ LOCATION:Interdisciplinary Engineering Building – IEB G106\, 4000 E Stevens Way NE\, Seattle\, WA\, 98195\, United States CATEGORIES:Materials Science & Engineering END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251121T123000 DTEND;TZID=America/Los_Angeles:20251121T133000 DTSTAMP:20260502T003520 CREATED:20251117T182532Z LAST-MODIFIED:20251209T194720Z UID:7203-1763728200-1763731800@www.quantumx.washington.edu SUMMARY:Imaging Quantum and Mesoscopic Phenomena with NanoSQUID on Tip Microscopy\, Evgeny Redekop DESCRIPTION:Speaker: Evgeny Redekop\, UC Santa Barbara\nUnderstanding emergent electronic phases in low-dimensional materials requires experimental tools capable of probing local electromagnetic properties with nanometer resolution and high sensitivity. The nanoSQUID-on-tip (nSOT) is a scanning superconducting quantum interference device fabricated directly on the apex of a pulled quartz tip\, enabling quantitative multimodal imaging at the nanoscale and cryogenic temperatures. In this talk\, I will outline the nSOT’s working principle\, fabrication\, and readout schemes\, emphasizing its versatility as a probe of correlated quantum states. I will present two recent applications: imaging fractional Chern insulators in twisted MoTe₂ and a new approach to mapping transport regimes in dual-gated Bernal bilayer graphene. I will also highlight emerging directions that extend the nSOT’s capabilities\, demonstrating its potential as a universal platform for exploring quantum matter and mesoscopic electrodynamics. URL:https://www.quantumx.washington.edu/calendar/imaging-quantum-and-mesoscopic-phenomena-with-nanosquid-on-tip-microscopy/ LOCATION:PAB B421 CATEGORIES:Physics END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251120T123000 DTEND;TZID=America/Los_Angeles:20251120T133000 DTSTAMP:20260502T003520 CREATED:20251117T182537Z LAST-MODIFIED:20251209T194810Z UID:7201-1763641800-1763645400@www.quantumx.washington.edu SUMMARY:Electron fractionalization without magnetic fields characterizing composite fermions in twisted bilayer MoTe2\, Luiz Henrique Santos DESCRIPTION:Speaker: Santos\, Luiz Henrique\, Emory University\nThe experimental discovery of fractional Chern insulators (FCIs) in moiré materials marks a significant development in the study of highly entangled quantum materials. FCIs differ from the traditional fractional quantum Hall effect not only because they occur without external magnetic fields but also because of essential lattice effects that give rise to topologically non-trivial moiré bands. Despite these differences\, the sequence of FCIs observed in moiré transition metal dichalcogenides and multi-layer graphene aligns with the hierarchy of Jain states found in the conventional FQH system\, which can be interpreted in terms of composite fermions. Motivated by these experimental results\, in this talk\, we will present an analysis of composite fermions that provides a roadmap to understanding Abelian FCIs in twisted bilayer MoTe2. The interplay between the moiré periodic potentials and the Chern-Simons gauge field gives rise to a fractal Hofstadter spectrum of composite fermions characterized a complex structure of incompressible states and topological bands. Among these\, we identify both FCIs consistent with the Jain hierarchy and new classes of FCIs whose transport properties differ from those of the Jain sequence. We also discuss the influence of the displacement field\, suppressing composite fermion gaps and inducing topological phase transitions. URL:https://www.quantumx.washington.edu/calendar/electron-fractionalization-without-magnetic-fields-characterizing-composite-fermions-in-twisted-bilayer-mote2/ LOCATION:PAB B421 CATEGORIES:Physics END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251118T150000 DTEND;TZID=America/Los_Angeles:20251118T150000 DTSTAMP:20260502T003520 CREATED:20251117T182544Z LAST-MODIFIED:20251209T194910Z UID:5726-1763478000-1763478000@www.quantumx.washington.edu SUMMARY:Melting the LHC a search for long lived gluinos in liquid detector materials\, Samuel Wong DESCRIPTION:Speaker: Samuel Wong\, University of Washington\nParticles at the TeV scale with lifetimes of a year or longer could have been abundantly produced at the LHC yet escaped detection because of backgrounds\, and could still be trapped within detector materials. With gluinos in split-supersymmetry as a working example\, we show that these trapped particles can be recovered from detector materials once prepared in liquid form\, for example\, by constructing a large water pool near ATLAS or CMS\, extracting liquid argon from electromagnetic calorimeters\, or melting silicon detectors. These liquid samples can then be processed using iterative centrifugation followed by mass spectrometry\, enabling single-particle sensitivity in macroscopic samples. This method can potentially discover gluinos up to 3 TeV in mass at the HL-LHC. URL:https://www.quantumx.washington.edu/calendar/melting-the-lhc-a-search-for-long-lived-gluinos-in-liquid-detector-materials/ LOCATION:PAT C-421 CATEGORIES:Physics END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251118T143000 DTEND;TZID=America/Los_Angeles:20251118T170000 DTSTAMP:20260502T003520 CREATED:20251117T181540Z LAST-MODIFIED:20251118T181529Z UID:7218-1763476200-1763485200@www.quantumx.washington.edu SUMMARY:The Dean W. Lytle Electrical & Computer Engineering Endowed Lecture Series: Anima Anandkumar DESCRIPTION:Event interval: Single day eventCampus location: Student Union Building (HUB)Campus room: HUB LyceumAccessibility Contact: dso@uw.eduEvent Types: Academics\,Lectures/Seminars \nNeural Operators for AI+Science: Pushing the Frontiers of Scientific Discovery \nAbstractThe main bottleneck in doing scientific research is the need for physical experiments in many areas. This means risky ideas are often discarded and the hypothesis space is traditionally restricted to regions of prior success. AI is disrupting this status quo by enabling physically-valid digital twins that reduce or even completely remove the need for physical experiments. AI models are orders of magnitude faster than traditional simulations\, and often more accurate\, since they can directly adapt to experimental and observational data. Since AI models are differentiable\, they can be directly used for inverse design\, enabling exploration and design optimization subject to diverse constraints\, that was not possible before. Neural Operators enable multiscale and physics-informed learning for achieving high fidelity and training data efficiency in many areas. They have been successfully applied in weather and climate modeling\, plasma evolution in nuclear fusion\, designing novel medical devices and enabling autonomous flights under turbulence. \nBiographyAnima Anandkumar has done pioneering work in AI for scientific modeling and discovery\, including extreme weather forecasting\, drug discovery\, scientific simulations\, and engineering design. She invented Neural Operators\, a deep learning framework for learning multiscale physical phenomena and used it to train the first AI-based high-resolution weather model\, tens of thousands of times faster than current forecasting systems\, that is running at weather agencies and created the field of AI-based weather and climate modeling. Her AI algorithms have enabled many other scientific advances such as designing a novel medical device\, inventing an anti-cancer drug currently in clinical trials\, and safer autonomous drone flights.Anima is currently a Bren professor at Caltech and a fellow of the IEEE\, ACM\, and AAAI. She has received several awards\, including the Time 100 Impact Award\, IEEE Kiyo Tomiyasu Award\, the Schmidt Sciences AI2050 senior fellow\, awards from the Guggenheim\, Alfred P. Sloan and Blavatnik Foundations\, the NSF Career Award\, the Distinguished Alumnus Award by the Indian Institute of Technology Madras\, and best paper awards at venues such as Neural Information Processing and the ACM Gordon Bell Special Prize for HPC-Based COVID-19 Research. She recently presented her work on AI+Science to the White House Science Council (PCAST)\, the National AI Advisory Committee\, and at TED 2024.Anima received her B. Tech from the Indian Institute of Technology Madras and her Ph.D. from Cornell University and did her postdoctoral research at MIT. She was previously principal scientist at Amazon Web Services and senior director of AI research at NVIDIA. URL:https://www.quantumx.washington.edu/calendar/the-dean-w-lytle-electrical-computer-engineering-endowed-lecture-series-anima-anandkumar/ LOCATION:Student Union Building (HUB) CATEGORIES:Electrical & Computer Engineering END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251118T133000 DTEND;TZID=America/Los_Angeles:20251118T133000 DTSTAMP:20260502T003520 CREATED:20251117T182557Z LAST-MODIFIED:20251209T194914Z UID:5724-1763472600-1763472600@www.quantumx.washington.edu SUMMARY:Classical Shadows for Sample Efficient Measurements of Gauge Invariant Observables\, Henry Froland DESCRIPTION:Speaker: Henry Froland\, InQubator for Quantum Simulation\nClassical shadows provide a versatile framework for estimating many properties of quantum states from repeated\, randomly chosen measurements without requiring full quantum state tomography. When prior information is available\, such as knowledge of symmetries of states and operators\, this knowledge can be exploited to significantly improve sample efficiency. In this work\, we develop three classical shadow protocols tailored to systems with local (or gauge) symmetries to enable efficient prediction of gauge-invariant observables in lattice gauge theory models which are currently at the forefront of quantum simulation efforts. For such models\, our approaches can offer exponential improvements in sample complexity over symmetry-agnostic methods\, albeit at the cost of increased circuit complexity. We demonstrate these trade-offs using a Z2 lattice gauge theory\, where a dual formulation enables a rigorous analysis of resource requirements\, including both circuit depth and sample complexity. URL:https://www.quantumx.washington.edu/calendar/classical-shadows-for-sample-efficient-measurements-of-gauge-invariant-observables/ LOCATION:PAT C-421 CATEGORIES:Physics END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251118T120000 DTEND;TZID=America/Los_Angeles:20251118T130000 DTSTAMP:20260502T003520 CREATED:20251117T182609Z LAST-MODIFIED:20251209T194921Z UID:5722-1763467200-1763470800@www.quantumx.washington.edu SUMMARY:The sound of electrons shattering can be rather quiet\, Josephine Yu DESCRIPTION:Speaker: Josephine Yu\, Stanford\nThis talk will highlight the results of arXiv:2509.25322. In a Fermi liquid\, the shot noise signature reveals which scattering mechanism — electron-electron or electron-impurity — dominantly impedes charge motion and is thereby a window into the microscopic physics of an electronic system. However\, the understanding of shot noise in strongly correlated phases\, for which a quasiparticle picture may not be justified\, is far less advanced. In this talk\, I will share recent progress on this problem for a certain class of strongly-correlated systems. In particular\, I will present a theory of the non-equilibrium current response for metallic systems near quantum critical points where electronic quasiparticles fractionalize\, such as systems near continuous metal-insulator transitions. I will sketch the derivation of a non-perturbative current noise composition law\, wherein the total noise is the sum of the noise of each fractionalized constituent (bosonic holons and fermionic spinons)\, weighted by their respective resistivities. This composition rule can be interpreted in terms of a simple analogy with resistors in series. Lastly\, I will present an example of how quantum criticality can collude with fractionalization to suppress the measured shot noise in sufficiently long nanowires. URL:https://www.quantumx.washington.edu/calendar/the-sound-of-electrons-shattering-can-be-rather-quiet/ LOCATION:PAB B421 CATEGORIES:Physics END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251117T160000 DTEND;TZID=America/Los_Angeles:20251117T160000 DTSTAMP:20260502T003520 CREATED:20251117T182619Z LAST-MODIFIED:20251209T194838Z UID:5720-1763395200-1763395200@www.quantumx.washington.edu SUMMARY:The 2025 Nobel Prize in Physics From Macroscopic Quantum Tunneling to Superconductiing Qubits\, Charles Marcus DESCRIPTION:Speaker: Charles Marcus\, University of Washington\nVideo Link (requires UW NetID) URL:https://www.quantumx.washington.edu/calendar/the-2025-nobel-prize-in-physics-from-macroscopic-quantum-tunneling-to-superconductiing-qubits/ LOCATION:Physics/Astronomy Auditorium – PAA A-102\, 3910 15th Ave NE\, Seattle\, WA\, 98105\, United States CATEGORIES:Physics END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20251117T143000 DTEND;TZID=America/Los_Angeles:20251117T152000 DTSTAMP:20260502T003520 CREATED:20251120T223855Z LAST-MODIFIED:20251120T223855Z UID:7248-1763389800-1763392800@www.quantumx.washington.edu SUMMARY:MSE Seminar: Jenna Pope DESCRIPTION:Event interval: Single day eventCampus room: IEB G106Accessibility Contact: Matthew Yankowitz\, myank@uw.eduEvent Types: Lectures/Seminars \nTitle: BUQ4MLIP: Uncertainty Quantification for Machine Learning Interatomic Potentials \nAbstract: Machine learning interatomic potentials (MLIPs) are transforming atomistic simulations by providing ab initio-level accuracy at orders-of-magnitude faster speeds. Universal MLIPs\, also called foundation models\, are trained across large\, chemically diverse datasets with the goal of broad transferability to new atomic environments. However\, the blackbox nature of MLIPs obscures the relationship between atomic environments and predicted outputs\, making it difficult to discern when the model is operating within its domain of validity and when its outputs may be unreliable. Uncertainty quantification (UQ) provides interpretable metrics that indicate the confidence or reliability of MLIP predictions. This talk will discuss UQ approaches using quantile regression to produce confidence intervals around the predicted output that can be used to assess the trustworthiness of MLIP-driven simulations. \nBio: Dr. Jenna Pope (who publishes under the name Jenna A. Bilbrey) is a Data Scientist at Pacific Northwest National Laboratory\, working within the National Security Directorate. Her research bridges computational chemistry\, materials science\, and AI/ML\, with a focus on applying deep learning and uncertainty quantification methods to chemical and materials modeling. She holds a PhD in computational chemistry from the University of Georgia and a BS in chemistry from the University of West Florida. Her projects are highly interdisciplinary and involve close collaboration with both experimentalists and theoreticians. Over the course of her career\, she has published on topics such as neural network potentials\, active learning for materials simulations\, and graph-component methods for defect analysis.  URL:https://www.quantumx.washington.edu/calendar/mse-seminar-jenna-pope/ LOCATION:maps.app.goo.gl… CATEGORIES:Materials Science & Engineering END:VEVENT END:VCALENDAR