Poster

Energy efficiency is becoming increasingly critical in the exascale era, where even small improvements at the GPU or node level can translate into significant energy savings and cost reductions. JUPITER, the first exascale supercomputer powered by NVIDIA GPUs, underscores the importance of understanding energy behavior across diverse applications. [...]

The performance of deep neural networks in computer vision tasks depends heavily on access to large, diverse, and well-documented datasets. However, such datasets are often scattered across the web and lack standardized formats, making automated integration into training pipelines challenging.This work presents a prototype pipeline designed to address this issue by targeting datasets listed in a semi-structured format on CVonline’s “Image Databases” page (https://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm). [...]

Modern research laboratories rely on complex measurement infrastructures that integrate a wide range of devices and interfaces.Traditional laboratory processes are often manual and decentralized, leading to errors and increased workload.This project presents a framework that orchestrates the integrated circuits (IC) and laboratory infrastructure used for qubit measurements. It also includes tools for measurement analysis. [...]

Precise tuning of semiconductor quantum dots is essential for their operation as qubits. During this process, sensor scans measure the response of the sensor dots coupled to quantum dots, revealing optimal operating conditions. [...]

The development of energy-efficient and fast machine learning methods plays an increasingly important role in experimental physics, where data analysis and control tasks often need to operate under strict resource constraints. In these contexts, machine learning models can automate complex calibration and analysis tasks while enabling on-device data processing close to the experimental sensors.One representative application presented on this poster concerns the automated calibration of semiconductor spin qubits, while the outlook highlights extensions toward edge-computing approaches in detector systems.The automated calibration of quantum dots is a key prerequisite for realizing scalable quantum computers. [...]

The magnetic interactions between rare-earth and transition-metal moments are of significant interest in the study of permanent magnets [1-2]. In particular, the interplay between 4f and 3d magnetic moments leads to complex behaviors, giving rise to phenomena such as spin reorientation, exchange bias, multiferroicity, and spin switching [3]. [...]

We discuss different concepts to realize crystal analyzer spectrometers at long pulse neutron sources.For the novel High Current Accelerator driven neutron sources, crystal arrays designed for large ac-ceptance enable resolutions down to 10 μeV with reasonable detector count rates.For the ESS we present a concept that might enable neV resolution by using GaAs monochroma-tors and analyzers and the full pulse of the ESS. The design enables the use of elastic and inelasticfixed window scans [...]