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X-WR-CALNAME:Centre for Mathematical Sciences
X-ORIGINAL-URL:https://math-sciences.org
X-WR-CALDESC:Events for Centre for Mathematical Sciences
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TZOFFSETFROM:+0000
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DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20221102T160000
DTEND;TZID=UTC:20221102T170000
DTSTAMP:20221203T191453
CREATED:20220919T160042Z
LAST-MODIFIED:20221028T112320Z
UID:4271-1667404800-1667408400@math-sciences.org
SUMMARY:Felix Haehl (University of Southampton) - Quantum Information and Black Holes
DESCRIPTION:I will review some progress on understanding quantum aspects of black hole dynamics using tools from quantum information theory and the AdS/CFT duality. For example\, properties like the intimate connection between emergent spacetime locality and entanglement of CFT degrees of freedom\, or the ability of black holes to scramble information efficiently\, motivate an information theoretic approach. I will describe how simple models of information propagation give a surprisingly accurate description of black hole dynamics. For example\, non-linear effects of a high-energy collision of shockwaves behind the black hole horizon can be analysed using such tools.
URL:https://math-sciences.org/event/felix-haehl-university-of-southampton-tbc/
LOCATION:Room 101\, 2-5 Kirkby Place\, Plymouth\, PL4 6DT\, United Kingdom
CATEGORIES:Theoretical Physics
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221109T170000
DTEND;TZID=UTC:20221109T180000
DTSTAMP:20221203T191453
CREATED:20221106T225219Z
LAST-MODIFIED:20221106T225219Z
UID:4322-1668013200-1668016800@math-sciences.org
SUMMARY:Roger Porkess: Teaching Statistics Trust Lecture
DESCRIPTION:The fifth lecture in the “Teaching Statistics Trust Lecture” series\, entitled “Data and Statistics in the 16-18 Curriculum” is being delivered by Roger Porkess. \nThe Teaching Statistics Trust Lecture\, (teachingstatisticstrust.org.uk)\, is given annually at multiple locations. It is aimed at teachers of statistics\, whether specialist or non-specialist\, in secondary schools\, colleges and early years of university.
URL:https://math-sciences.org/event/roger-porkess-teaching-statistics-trust-lecture/
LOCATION:Rolle 001
CATEGORIES:Seminars,Statistics and Data Science
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BEGIN:VEVENT
DTSTART;TZID=UTC:20221116T160000
DTEND;TZID=UTC:20221116T170000
DTSTAMP:20221203T191453
CREATED:20221121T120755Z
LAST-MODIFIED:20221121T120755Z
UID:4332-1668614400-1668618000@math-sciences.org
SUMMARY:Silvia Manconi ( Institute for Theoretical Particle Physics and Cosmology\, RWTH Aachen ) - Indirect dark matter searches with cosmic messengers
DESCRIPTION:The cosmic radiations we measure at the Earth are messengers to unveil the properties of our universe. Overwhelming observational evidence points to the existence of dark matter\, an elusive form of matter thought to permeate the universe\, but inferred only through its gravitational effects. \nThe quest for non-gravitational evidence of dark matter is one of the most compelling problems in present cosmology and particle physics\, and is addressed using different techniques. We will start this talk with an overview of the current searches for indirect signatures of dark matter in the cosmic radiations. \nWe will then focus on two recently debated dark matter hints: the excess fluxes of cosmic antimatter and of gamma-rays from the center of our Galaxy.
URL:https://math-sciences.org/event/silvia-manconi-institute-for-theoretical-particle-physics-and-cosmology-rwth-aachen-indirect-dark-matter-searches-with-cosmic-messengers/
LOCATION:Room 101\, 2-5 Kirkby Place\, Plymouth\, PL4 6DT\, United Kingdom
CATEGORIES:Theoretical Physics
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221123T160000
DTEND;TZID=UTC:20221123T170000
DTSTAMP:20221203T191453
CREATED:20220919T095147Z
LAST-MODIFIED:20221121T120252Z
UID:4273-1669219200-1669222800@math-sciences.org
SUMMARY:Oleksandr Kyriienko (University of Exeter) - Quantum computing for scientific machine learning".
DESCRIPTION:In the talk\, I will discuss advances in the field of quantum scientific computing. This is based on a series of works for solving differential equations for applications in fluid dynamics and generative modelling. First\, I will show how to differentiate quantum circuits with feature maps and embed derivatives of multidimensional functions. This approach relies on automatic differentiation to represent derivatives in an analytical form\, thus avoiding inaccurate finite difference procedures. We refer to the underlying circuits as derivative quantum circuits (DQCs). I will describe the proposed hybrid quantum-classical workflow where DQCs are trained to satisfy nonlinear differential equations and specified boundary conditions. \n \nAs an example\, I will apply the algorithm to solve a problem from computational fluid dynamics. This corresponds to the fluid flow in a convergent-divergent nozzle (described by Navier-Stokes equations)\, where we predict density\, temperature and velocity profiles for the stiff system of equations that can challenge classical solvers. Second\, I will also show that DQCs can provide an advantage for generative modelling from stochastic differential equations\, giving access to sampling from financially relevant models. Finally\, I will discuss the protocols that may be scaled to treat large industrial problems in the future.
URL:https://math-sciences.org/event/oleksandr-kyriienko-university-of-exeter-tbc/
LOCATION:Room 101\, 2-5 Kirkby Place\, Plymouth\, PL4 6DT\, United Kingdom
CATEGORIES:Applied Mathematics,Theoretical Physics
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221130T150000
DTEND;TZID=UTC:20221130T160000
DTSTAMP:20221203T191453
CREATED:20220919T095402Z
LAST-MODIFIED:20221121T120327Z
UID:4275-1669820400-1669824000@math-sciences.org
SUMMARY:Steve Abel (Durham University) - Quantum annealers as tools for theory
DESCRIPTION:Quantum annealers are near-term adiabatic quantum computing devices that are already of significant size. In this talk I discuss how they can be used as laboratories to implement genuine tunnelling in Quantum Field Theories. I also discuss how they can be used to embed and train a general neural network in a quantum annealer without introducing any classical element in training. This approach opens a novel avenue for the quantum training of general machine learning models which can incorporate virtually limitless and changing training data. The talk will include a pedagogical introduction to quantum annealing.
URL:https://math-sciences.org/event/steve-abel-durham-university-tbc/
LOCATION:Room 101\, 2-5 Kirkby Place\, Plymouth\, PL4 6DT\, United Kingdom
CATEGORIES:Theoretical Physics
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221202T160000
DTEND;TZID=UTC:20221202T160000
DTSTAMP:20221203T191453
CREATED:20221106T225534Z
LAST-MODIFIED:20221118T162110Z
UID:4325-1669996800-1669996800@math-sciences.org
SUMMARY:Zoe Mildon (UoP): TBC
DESCRIPTION:TBC
URL:https://math-sciences.org/event/zoe-mildon-uop-tbc/
CATEGORIES:Statistics and Data Science
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