Erbium dopants in silicon nanophotonic waveguides

The combination of established nanofabrication with attractive material properties makes silicon a promising material for quantum technologies, where implanted dopants serve as qubits with high density and excellent coherence even at elevated temperatures. In order to connect and control these qubits, interfacing them with light in nanophotonic waveguides offers unique promise. Here, we present resonant spectroscopy of implanted erbium dopants in such waveguides. We overcome the requirement of high doping and above-bandgap excitation that limited earlier studies. We thus observe erbium incorporation at well-defined lattice sites with a thousandfold reduced inhomogeneous broadening of about 1 GHz and a spectral diffusion linewidth down to 45 MHz. Our study thus introduces a novel materials platform for the implementation of on-chip quantum memories, microwave-to-optical conversion, and distributed quantum information processing, with the unique feature of operation in the main wavelength band of fiber-optic communication.Comment: 7 pages, 4 figure

Dynamical decoupling of spin ensembles with strong anisotropic interactions

Ensembles of dopants have widespread applications in quantum technology. The miniaturization of corresponding devices is however hampered by dipolar interactions that reduce the coherence at increased dopant density. We theoretically and experimentally investigate this limitation. We find that dynamical decoupling can alleviate, but not fully eliminate, the decoherence in crystals with strong anisotropic spin-spin interactions. Our findings can be generalized to all quantum systems with anisotropic g-factor used for quantum sensing, microwave-to-optical conversion, and quantum memory.Comment: Second version of the manuscript contains additional measurements, in which dynamical decoupling in the absence of strong spin-spin interactions is demonstrate

Task Activity Vectors: A Novel Metric for Temperature-Aware and Energy-Efficient Scheduling

This thesis introduces the abstraction of the task activity vector to characterize applications by the processor resources they utilize. Based on activity vectors, the thesis introduces scheduling policies for improving the temperature distribution on the processor chip and for increasing energy efficiency by reducing the contention for shared resources of multicore and multithreaded processors

Memory-aware Scheduling for Energy Efficiency on Multicore Processors

Memory bandwidth is a scarce resource in multicore systems. Scheduling has a dramatic impact on the delay introduced by memory contention, but also on the effectiveness of frequency scaling at saving energy. This paper investigates the cross-effects between tasks running on a multicore system, considering memory contention and the technical constraint of chip-wide frequency and voltage settings. We make the following contributions: 1) We identify the memory characteristics of tasks and sort core-specific runqueues to allow a co-scheduling of tasks with minimal energy delay product. 2) According to the memory characteristics of the workload, we set the frequency for individual chips so that the delay is only marginal. Our evaluation with a Linux implementation running on an Intel quad-core shows that memory-aware scheduling can reduce EDP considerably

Laser stabilization to a cryogenic fiber ring resonator

The frequency stability of lasers is limited by thermal noise in state-of-the-art frequency references. Further improvement requires operation at cryogenic temperature. In this context, we investigate a fiber-based ring resonator. Our system exhibits a first-order temperature-insensitive point around $3.55$ K, much lower than that of crystalline silicon. The observed low sensitivity with respect to vibrations ($<5\cdot{10^{-11}}\,\text{m}^{-1} \text{s}^{2}$), temperature ($-22(1)\cdot{10^{-9}}\,\text{K}^{-2}$) and pressure changes ($4.2(2)\cdot{10^{-11}}\,\text{mbar}^{-2}$) makes our approach promising for future precision experiments

Using language models in question answering

In this thesis, we describe a language model based approach to parts of a complete Question Answering (QA) system. It includes the processing of the natural language query as well as the retrieval of relevant documents, passages and sentences. The results show that the language model based modules in our QA system perform equally well or even better than current state-of-the-art systems. Due to the heavy use of fast statistical algorithms the main advantage of our system is an efficiency gain compared to the slower deep analysis linguistic methods used in other approaches. A second benefit of using language models is the ability to train them for new languages.In dieser Doktorarbeit wird ein Ansatz basierend auf statistischen Sprachmodellen für verschiedene Bestandteile eines kompletten Fragebeantwortungssystems beschrieben. Dies beinhaltet die Verarbeitung der natürlichsprachlichen Suchanfrage sowie die Suche nach relevanten Dokumenten, Textabschnitten und Sätzen. Die Ergebnisse der Arbeit zeigen, dass sprachmodellbasierte Methoden genauso gut oder sogar noch besser funktionieren, als derzeitige, moderne Systeme. Ein wesentlicher Vorteil des beschriebenen Systems liegt in der Nutzung schneller, statistischer Algorithmen gegenüber den vergleichsweise langsamen, tiefen linguistischen Analysen anderer Ansätze

Spiral cleavage and early embryology of a loxosomatid entoproct and the usefulness of spiralian apical cross patterns for phylogenetic inferences

Background: Among the four major bilaterian clades, Deuterostomia, Acoelomorpha, Ecdysozoa, and Lophotrochozoa, the latter shows an astonishing diversity of bodyplans. While the largest lophotrochozoan assemblage, the Spiralia, which at least comprises Annelida, Mollusca, Entoprocta, Platyhelminthes, and Nemertea, show a spiral cleavage pattern, Ectoprocta, Brachiopoda and Phoronida (the Lophophorata) cleave radially. Despite a vast amount of recent molecular phylogenetic analyses, the interrelationships of lophotrochozoan phyla remain largely unresolved. Thereby, Entoprocta play a key role, because they have frequently been assigned to the Ectoprocta, despite their differently cleaving embryos. However, developmental data on entoprocts employing modern methods are virtually non-existent and the data available rely exclusively on sketch drawings, thus calling for thorough re-investigation. Results: By applying fluorescence staining in combination with confocal microscopy and 3D-imaging techniques, we analyzed early embryonic development of a basal loxosomatid entoproct. We found that cleavage is asynchronous, equal, and spiral. An apical rosette, typical for most spiralian embryos, is formed. We also identified two cross-like cellular arrangements that bear similarities to both, a "molluscan-like" as well as an "annelid-like" cross, respectively. Conclusions: A broad comparison of cleavage types and apical cross patterns across Lophotrochozoa shows high plasticity of these character sets and we therefore argue that these developmental traits should be treated and interpreted carefully when used for phylogenetic inferences

Numerical simulation of sintered perforated hollow sphere structures (PHSS) to investigate thermal conductivity

This paper investigates the thermal properties of a new type of hollow sphere structures. For this new type, the sphere shell is perforated by several holes in order to open the inner sphere volume and surface. The effective thermal conductivity of perforated sphere structures in several kinds of arrangements is numerically evaluated for different hole diameters. The results are compared to classical configurations without perforation. In the scope of this study, three-dimensional finite element analysis is used in order to investigate simple cubic, body-centered cubic, face-centered cubic and hexagonal unit cell models. A linear behavior was found for the heat conductivity of different hole diameters for several kinds of arrangements when the results are plotted over the average density

Event-Driven Thermal Management in SMP Systems

Actions usually taken to prevent processors from overheating, such as decreasing the frequency or stopping the execution flow, also degrade performance. Multiprocessor systems, however, offer the possibility of moving the task which caused a CPU to overheat away to some other, cooler CPU, so throttling becomes only a last resort taken if all of a system\u27s processors are hot. Additionally, the different energy characteristics that different tasks are showing can be exploited and hot tasks as well as cool tasks can be distributed evenly among all CPUs. This work presents a mechanism for determining the energy characteristics of tasks by means of event monitoring counters, and an energy-aware scheduling policy, which strives to assign tasks to CPUs in a way that avoids overheating individual CPUs. We implemented energy-aware scheduling for the Linux kernel. Evaluations show that the overhead incurred by additional task migrations is negligible compared to the benefit of avoiding throttling