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In den letzten beiden Jahrzehnten hat sich N=4 Super Yang-Mills Theorie (SYM) als vergleichsweise einfache wechselwirkende Quantenfeldtheorie etabliert. Es konnte gezeigt werden, dass N=4 SYM im sogenannten planaren Limes eine integrable konforme Feldtheorie ist. Diese Erkenntnis wurde im Rahmen der Lösung des Spektralproblems gewonnen, das als die Diagonalisierung des Dilatationsoperators definiert ist. Dieser Operator ist der Teil der konformen Algebra, der Skalentransformationen erzeugt. In jüngerer Zeit wurde vorgeschlagen, dass verwandte Theorien, die man kollektiv als stark getwistete N=4 SYM bezeichnet, tatsächlich einfacher wären. Wir untersuchen das Spektralproblem dieser Theorien und bestimmen die Eigenwerte des Dilatationsoperators. Dabei ist unsere Analyse auf Einschleifenordnung beschränkt. Wir leiten zunächst den Einschleifendilatationsoperator der stark getwisteten Modelle her. Bemerkenswerterweise ist der Dilatationsoperator nicht diagonalisierbar, da die stark getwisteten Theorien nicht unitär sind. Wir definieren den Begriff des eklektischen Feldinhalts von lokalen zusammengesetzten Operatoren. Eine endliche Potenz des Dilatationsoperators bildet die entsprechenden Operatoren mit eklektischem Feldinhalt auf null ab. Die Herleitung unterschiedlicher Bethe Ansätze wird präsentiert um die Eigenzustände des Dilatationsoperators zu finden. Wir stellen die Lösungen der Bethe Gleichungen vor, wobei wir Sektor für Sektor vorgehen. Wir konstruieren auch einige der auftretenden Jordan Blöcke. Des Weiteren diskutieren wir den Einfluss, den die Jordan Blöcke auf die Zweipunktfunktionen der Theorie haben. In einer nicht unitären Theorie ist die Klassifikation der lokal zusammengesetzten Operatoren in Primäroperatoren und Abkömmlinge nicht vollständig und eine dritte Art Operator, nämlich der logarithmische Operator, tritt auf. Die entsprechenden Zweipunktfunktionen enthalten Logarithmen. / Over the last two decades, N=4 Super Yang-Mills theory (SYM) has established a reputation of being the simplest interacting quantum field theory in four dimensions. In the so-called planar limit, N=4 SYM turned out to be an integrable conformal field theory. Integrability was first found when solving the spectral problem, which is defined as diagonalising the dilatation operator. The latter is the part of the conformal algebra generating scaling transformations. Its eigenvalues are the anomalous dimensions. More recently, it was proposed that a certain non-unitary deformation of N=4 SYM, the so-called strongly-twisted theories, are actually simpler. We investigate the spectral problem of these theories at one-loop order. We derive the one-loop dilatation operator of the strongly-twisted models and express it in terms of the one of the untwisted theory. Notably, since the strongly-twisted theories are non-unitary, the dilatation operator turns out to be non-diagonalisable. We define the notion of eclectic field content of local composite operators. A finite number of applications of the dilatation operator annihilates these local composite operators with eclectic field content. A derivation of several different Bethe ansätze to find eigenstates of the dilatation operator is presented. Furthermore, we also propose a short-cut to derive the Bethe equations from those of the unscaled models. We present solutions to the Bethe equations sector by sector, derive the Jordan blocks of the dilatation operator and show their impact on the two-point correlation functions of the theory. The classification of local composite operators into primaries and descendants is no longer complete in a non-unitary theory and a third type of operator, named a logarithmic operator, appears. The corresponding two-point functions contain logarithms.

<p>This dissertation consists of two parts. In the first part, we discuss the boundary and domain wall theories of the generalized quantum double lattice realization of the two-dimensional topological orders based on Hopf algebras. The boundary Hamiltonian and domain wall Hamiltonian are constructed by using Hopf algebra pairings and generalized quantum double. The algebraic data behind the gapped boundary and domain wall are comodule algebras and bicomodule algebras, respectively. The topological excitations in the boundary and domain wall are classified by bimodules over these algebras. Finally, via the Hopf tensor network representation of the quantum many-body states, we solve the ground state of the model in the presence of the boundary and domain wall.</p> <p><br></p> <p>In the second part, we introduce the weak Hopf algebra extension of symmetry, which arises naturally in anyonic quantum systems, and we establish weak Hopf symmetry breaking theory based on the fusion closed set of anyons. We present a thorough investigation of the quantum double model based on weak Hopf algebras, including the topological excitations and ribbon operators, and show that the vacuum sector of the model has weak Hopf symmetry. The gapped boundary and domain wall theories are also established. We show that the gapped boundary is algebraically determined by a comodule algebra, or equivalently, a module algebra, and the gapped domain wall is determined by the bicomodule algebra, or equivalently, a bimodule algebra. We also introduce the weak Hopf tensor network states, by which we solve the weak Hopf quantum double models on closed and open surfaces. Lastly, we discuss the duality of the quantum double phases.</p>

This thesis is a cooperation with Knowit, Östrand \&amp; Hansen, and Orkla. It aimed to explore the application of Machine Learning and Deep Learning models with Conformal Prediction for a predictive maintenance situation at Orkla. Predictive maintenance is essential in numerous industrial manufacturing scenarios. It can help to reduce machine downtime, improve equipment reliability, and save unnecessary costs.  In this thesis, various Machine Learning and Deep Learning models, including Decision Tree, Random Forest, Support Vector Regression, Gradient Boosting, and Long short-term memory, are applied to a real-world predictive maintenance dataset. The Orkla dataset was originally planned to use in this thesis project. However, due to some challenges met and time limitations, one NASA C-MAPSS dataset with a similar data structure was chosen to study how Machine Learning models could be applied to predict the remaining useful lifetime (RUL) in manufacturing. Besides, conformal prediction, a recently developed framework to measure the prediction uncertainty of Machine Learning models, is also integrated into the models for more reliable RUL prediction.  The thesis project results show that both the Machine Learning and Deep Learning models with conformal prediction could predict RUL closer to the true RUL while LSTM outperforms the Machine Learning models. Also, the conformal prediction intervals provide informative and reliable information about the uncertainty of the predictions, which can help inform personnel at factories in advance to take necessary maintenance actions.  Overall, this thesis demonstrates the effectiveness of utilizing machine learning and Deep Learning models with Conformal Prediction for predictive maintenance situations. Moreover, based on the modeling results of the NASA dataset, some insights are discussed on how to transfer these experiences into Orkla data for RUL prediction in the future.

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A virtual environment is a set of surroundings that appears to exist to a user through sensory stimuli provided by a computer. By virtual environment, we mean to include environments supporting the full range from VR to pure reality. A necessity for virtual environments is knowledge of the location of objects in the environment. This is referred to as the tracking problem, which points to the need for accurate and precise tracking in virtual environments. Marker-based tracking is a technique which employs fiduciary marks to determine the pose of a tracked object. A collection of markers arranged in a rigid configuration is called a tracking probe. The performance of marker-based tracking systems depends upon the fidelity of the pose estimates provided by tracking probes. The realization that tracking performance is linked to probe performance necessitates investigation into the design of tracking probes for proponents of marker-based tracking. The challenges involved with probe design include prediction of the accuracy and precision of a tracking probe, the creation of arbitrarily-shaped tracking probes, and the assessment of the newly created probes. To address these issues, we present a pioneer framework for designing conformal tracking probes. Conformal in this work means to adapt to the shape of the tracked objects and to the environmental constraints. As part of the framework, the accuracy in position and orientation of a given probe may be predicted given the system noise. The framework is a methodology for designing tracking probes based upon performance goals and environmental constraints. After presenting the conformal tracking framework, the elements used for completing the steps of the framework are discussed. We start with the application of optimization methods for determining the probe geometry. Two overall methods for mapping markers on tracking probes are presented, the Intermediary Algorithm and the Viewpoints Algorithm. Next, we examine the method used for pose estimation and present a mathematical model of error propagation used for predicting probe performance in pose estimation. The model uses a first-order error propagation, perturbing the simulated marker locations with Gaussian noise. The marker locations with error are then traced through the pose estimation process and the effects of the noise are analyzed. Moreover, the effects of changing the probe size or the number of markers are discussed. Finally, the conformal tracking framework is validated experimentally. The assessment methods are divided into simulation and post-fabrication methods. Under simulation, we discuss testing of the performance of each probe design. Then, post-fabrication assessment is performed, including accuracy measurements in orientation and position. The framework is validated with four tracking probes. The first probe is a six-marker planar probe. The predicted accuracy of the probe was 0.06 deg and the measured accuracy was 0.083 plus/minus 0.015 deg. The second probe was a pair of concentric, planar tracking probes mounted together. The smaller probe had a predicted accuracy of 0.206 deg and a measured accuracy of 0.282 plus/minus 0.03 deg. The larger probe had a predicted accuracy of 0.039 deg and a measured accuracy of 0.017 plus/minus 0.02 deg. The third tracking probe was a semi-spherical head tracking probe. The predicted accuracy in orientation and position was 0.54 plus/minus 0.24 deg and 0.24 plus/minus 0.1 mm, respectively. The experimental accuracy in orientation and position was 0.60 plus/minus 0.03 deg and 0.225 plus/minus 0.05 mm, respectively. The last probe was an integrated, head-mounted display probe, created using the conformal design process. The predicted accuracy of this probe was 0.032 plus/minus 0.02 degrees in orientation and 0.14 plus/minus 0.08 mm in position. The measured accuracy of the probe was 0.028 plus/minus 0.01 degrees in orientation and 0.11 plus/minus 0.01 mm in position. These results constitute an order of magnitude improvement over current marker-based tracking probes in orientation, indicating the benefits of a conformal tracking approach. Also, this result translates to a predicted positional overlay error of a virtual object presented at 1m of less than 0.5 mm, which is well above reported overlay performance in virtual environments.

We have seen a rapid increase in the development of deep learning algorithms in recent decades. However, while these algorithms have unlocked new business areas and led to great development in many fields, they are usually limited to Euclidean data. Researchers are increasingly starting to find out that they can better represent the data used in many real-life applications as graphs. Examples include high-risk domains such as finding the side effects when combining medicines using a protein-protein network. In high-risk domains, there is a need for trust and transparency in the results returned by deep learning algorithms. In this work, we explore how we can quantify uncertainty in Graph Neural Network predictions using conventional methods for conformal prediction as well as novel methods exploiting graph connectivity information. We evaluate the methods on both static and dynamic graphs and find that neither of the novel methods offers any clear benefits over the conventional methods. However, we see indications that using the graph connectivity information can lead to more efficient conformal predictors and a lower prediction latency than the conventional methods on large data sets. We propose that future work extend the research on using the connectivity information, specifically the node embeddings, to boost the performance of conformal predictors on graphs. / De senaste årtiondena har vi sett en drastiskt ökad utveckling av djupinlärningsalgoritmer. Även fast dessa algoritmer har skapat nya potentiella affärsområden och har även lett till nya upptäckter i flera andra fält, är dessa algoritmer dessvärre oftast begränsade till Euklidisk data. Samtidigt ser vi att allt fler forskare har upptäckt att data i verklighetstrogna applikationer oftast är bättre representerade i form av grafer. Exempel inkluderar hög-risk domäner som läkemedelsutveckling, där man förutspår bieffekter från mediciner med hjälp av protein-protein nätverk. I hög-risk domäner finns det ett krav på tillit och att resultaten från djupinlärningsalgoritmer är transparenta. I den här tesen utforskar vi hur man kan kvantifiera osäkerheten i resultaten hos Neurala Nätverk för grafer (eng. Graph Neural Networks) med hjälp av konform prediktion (eng. Conformal Prediction). Vi testar både konventionella metoder för konform prediktion, samt originella metoder som utnyttjar strukturell information från grafen. Vi utvärderar metoderna både på statiska och dynamiska grafer, och vi kommer fram till att de originella metoderna varken är bättre eller sämre än de konventionella metoderna. Däremot finner vi indikationer på att användning av den strukturella informationen från grafen kan leda till effektivare prediktorer och till lägre svarstid än de konventionella metoderna när de används på stora grafer. Vi föreslår att framtida arbete i området utforskar vidare hur den strukturella informationen kan användas, och framförallt nod representationerna, kan användas för att öka prestandan i konforma prediktorer för grafer.

The lattice point problem in dynamical systems investigates the distribution of certain objects with some length property in the space that the dynamics is defined. This problem in different contexts can be interpreted differently. In the context of symbolic dynamical systems, we are trying to investigate the growth of N(T), the number of finite words subject to a specific ergodic length T, as T tends to infinity. This problem has been investigated by Pollicott and Urbański to a great extent. We try to investigate it further, by relaxing a condition in the context of deterministic dynamical systems. Moreover, we investigate this problem in the context of random dynamical systems. The method for us is considering the Fourier-Stieltjes transform of N(T) and expressing it via a Poincaré series for which the spectral gap property of the transfer operator, enables us to apply some appropriate Tauberian theorems to understand asymptotic growth of N(T). For counting in the random dynamics, we use some results from probability theory.

Integrabilität hat sich als ein mächtiges Werkzeug zur Berechnung von Observablen in der AdS/CFT-Korrespondenz erwiesen. Zunächst für das planare Spektralproblem entdeckt, wurden auch Methoden zur Berechnung von Mehrpunktfunktionen entwickelt. In dieser Arbeit wird diese Korrespondenz für AdS5/CFT4 und AdS3/CFT2 betrachtet mit dem Ziel, den integrablen Formalismus zu erweitern. Teil I behandelt Integrabilität in der N=4 SYM-Theorie, wo der Hexagon-Formalismus die Berechnung von Dreipunktfunktionen ermöglicht. Dazu wird der Korrelator in zwei hexagonale Stücke zerlegt. Die lokalen Operatoren müssen im Spinkettenbild als Bethe-Zustand zerschnitten und ein verschränkter Zustand konstruiert werden. Der Hexagon-Formalismus wird hier auf Sektoren mit höherem Rang erweitert, wobei die operatorartige Struktur erhalten und nur minimale Informationen aus dem geschachtelten Bethe-Ansatz genutzt werden. Weiterhin erlaubt die Betrachtung von Doppelanregungen im Spinkettenbild die Realisierung aller Felder der N=4 SYM-Theorie. Der chirale Yang-Mills-Feldstärketensor wird aus vier Fermionen in führender Ordnung der Kopplung konstruiert, eine Methode zur Einsetzung des Lagrangeoperators im Hexagon-Formalismus wird vorgeschlagen und ein erster Test durchgeführt. Teil II behandelt den Hexagon-Formalismus für Superstrings auf AdS3xS3xT4 Hintergründen mit einer Mischung von Ramond-Ramond und Neveu-Schwarz-Neveu-Schwarz Flüssen. Der Formfaktor wird für Ein- und Zwei-Teilchen-Zustände konstruiert und lässt sich für viele Teilchen unter Nutzung der S Matrix verallgemeinern. Schließlich werden die thermodynamischen Bethe-Ansatz (TBA)-Gleichungen betrachtet, die von Frolov und Sfondrini für das Spektrum von Strings auf reinem Ramond-Ramond AdS3xS3xT4 Hintergrund konstruiert wurden. Bei schwacher Kopplung lassen sich die TBA-Gleichungen erheblich vereinfachen. Der Beitrag zu den anomalen Dimensionen in führender Ordnung ist auf masselose Anregungen zurückzuführen. / Integrability proved to be a powerful tool to calculate observables in the AdS/CFT correspondence. At first discovered in the planar spectral problem, methods have since been devised for calculating higher-point functions as well. In this thesis we will consider two instances of the correspondence, that is AdS5/CFT4 as well as AdS3/CFT2, aiming at extending the integrability framework. In Part I we focus on integrability in N=4 SYM theory, where the hexagon form factor provides a formalism to calculate three-point functions. For this, the correlator is cut into two hexagonal patches. Considering the local operators in the spin chain picture, the Bethe states also need to be cut, resulting in an entangled state. In this thesis, we extend the hexagon formalism to higher-rank sectors, while preserving its operator-like structure and importing a minimum of information from the nested Bethe ansatz. Moreover, considering double excitations in the spin chain picture allows us to accommodate for the full set of fields in N=4 SYM theory. We build the chiral Yang-Mills field strength tensor from four fermions at leading order in the coupling, put forward a Lagrangian insertion method in the hexagon formalism and perform a first test. In Part II we propose a hexagon formalism for superstrings in AdS3×S3×T4 backgrounds with an arbitrary mixture or Ramond-Ramond and Neveu-Schwarz-Neveu-Schwarz fluxes. We bootstrap the hexagon form factor for one- and two-particle states from symmetry and give a proposal for the evaluation of many particle states in terms of the theorie's S matrix. Finally, we consider the thermodynamic Bethe ansatz (TBA) equations constructed by Frolov and Sfondrini for the spectrum of strings on the pure-Ramond-Ramond AdS3×S3×T4 background. Here we study the small tension limit of the mirror TBA equations and find that the equations simplify considerably. We observe that the leading-order contribution to the anomalous dimensions is due to massless excitations.

Konforme Feldtheorien (CFT) spielen eine Schlüsselrolle in der modernen theoretischen Physik. Mit CFT beschreibt man reale physikalische Systeme bei Kritikalität. Dank der AdS/CFT-Korrespondenz spielt sie auch bei der Untersuchung der Quantengravitation eine zentrale Rolle. Auf der Seite der CFT steht die N=4 supersymmetrische Yang-Mills (SYM) Theorie. Diese Arbeit dreht sich hauptsächlich um die supersymmetrische Wilson-Linie und ihre Interpretation als konformer Defekt in N=4 SYM. Insbesondere konzentrieren wir uns auf Anregungen, die auf dem Defekt lokalisiert sind, sogenannte Einfügungen, deren Korrelatoren durch eine eindimensionale CFT beschrieben werden. Das erste Hauptergebnis dieser Arbeit ist ein effizienter Algorithmus zur Berechnung von Mehrpunkt Korrelationsfunktionen von Skalareinfügungen auf der Wilson-Linie bis zur nächsten Ordnung bei schwacher Kopplung kodieren. Es werden verschiedene Berechnungen solcher Vier-, Fünf- und Sechspunkt-Korrelatoren gezeigt und ihre Eigenschaften diskutiert. Darüber hinaus wird am Beispiel der Vierpunkt-Funktion die Leistungsfähigkeit der Ward-Identitäten veranschaulicht, die für die Ableitung eines Ergebnisses nächster, vorletzter und führender Ordnung entscheidend sind. Dank dieser perturbativen Ergebnisse vermuten wir eine Mehrpunkt-Erweiterung der Ward-Identitäten, die von den Vier-Punkt-Funktionen erfüllt werden. Diese nichtperturbativen Beschränkungen erweisen sich als fundamentale Bestandteile des Bootstraps einer Fünfpunkt-Funktion bei starker Kopplung. Zum Abschluss dieser Arbeit definieren wir eine inhärent eindimensionale Mellin-Amplitude auf der nichtperturbativen Ebene mit geeigneten Subtraktionen und analytischen Fortsetzungen. Die Effizienz des 1d-Mellin-Formalismus zeigt sich auf der perturbativen Ebene. Man findet einen Ausdruck in geschlossener Form für die Mellin-Transformation von Kontaktwechselwirkungen führender Ordnung, den man verwendet, um CFT-Daten zu extrahieren. / Conformal field theory (CFT) plays a key role in modern theoretical physics. Through CFT we describe real physical systems at criticality and fixed points of the renormalization group flow. It is also central in the study of quantum gravity, thanks to the AdS/CFT correspondence. This thesis originates in the context of the N=4 supersymmetric Yang-Mills (SYM) theory, which represents the CFT side of this correspondence. This work mainly revolves around the supersymmetric Wilson line and its interpretation as a conformal defect in N=4 SYM. Particularly, we focus on excitations localized on the defect called insertions, whose correlators are described by a one-dimensional CFT. The first main result of this work is an efficient algorithm for computing multipoint correlation functions of scalar insertions on the Wilson line, consisting of recursion relations encoding the possible interactions up to next-to-leading order at weak coupling. We show various computations of such four-, five- and six-point correlators, and discuss their properties. Moreover, we use the four-point function case to illustrate the power of the Ward identities, which are crucial in deriving a next-to-next-to-leading order result. Thanks to these perturbative results, we find a family of differential operators annihilating our correlation functions, which we conjecture to be a multipoint extension of the Ward identities satisfied by the four-point functions. These non-perturbative constraints are shown to be fundamental ingredients in the bootstrap of a five-point function at strong coupling. To conclude this thesis, we define an inherently one-dimensional Mellin amplitude at the non-perturbative level with appropriate subtractions and analytical continuations. The efficiency of the 1d Mellin formalism is manifest at the perturbative level. We find a closed-form expression for the Mellin transform of leading order contact interactions and use it to extract CFT data.