@article{HomrighausenHorsthemkePogorzelskietal.2023, author = {Homrighausen, Jonas and Horsthemke, Ludwig and Pogorzelski, Jens and Trinschek, Sarah and Gl{\"o}sek{\"o}tter, Peter and Gregor, Markus}, title = {Edge-Machine-Learning-Assisted Robust Magnetometer Based on Randomly Oriented NV-Ensembles in Diamond}, series = {Sensors}, volume = {23}, journal = {Sensors}, number = {3}, doi = {10.3390/s23031119}, year = {2023}, abstract = {Quantum magnetometry based on optically detected magnetic resonance (ODMR) of nitrogen vacancy centers in nano- or micro-diamonds is a promising technology for precise magnetic-field sensors. Here, we propose a new, low-cost and stand-alone sensor setup that employs machine learning on an embedded device, so-called edge machine learning. We train an artificial neural network with data acquired from a continuous-wave ODMR setup and subsequently use this pre-trained network on the sensor device to deduce the magnitude of the magnetic field from recorded ODMR spectra. In our proposed sensor setup, a low-cost and low-power ESP32 microcontroller development board is employed to control data recording and perform inference of the network. In a proof-of-concept study, we show that the setup is capable of measuring magnetic fields with high precision and has the potential to enable robust and accessible sensor applications with a wide measuring range.}, language = {en} } @article{PogorzelskiHorsthemkeHomrighausenetal.2024, author = {Pogorzelski, Jens and Horsthemke, Ludwig and Homrighausen, Jonas and Stiegek{\"o}tter, Dennis and Gregor, Markus and Gl{\"o}sek{\"o}tter, Peter}, title = {Compact and Fully Integrated LED Quantum Sensor Based on NV Centers in Diamond}, series = {Compact and Fully Integrated LED Quantum Sensor Based on NV Centers in Diamond}, volume = {2024}, journal = {Compact and Fully Integrated LED Quantum Sensor Based on NV Centers in Diamond}, number = {24(3)}, doi = {10.25974/fhms-17569}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-175692}, year = {2024}, abstract = {Quantum magnetometry based on optically detected magnetic resonance (ODMR) of nitrogen vacancy centers in diamond nano or microcrystals is a promising technology for sensitive, integrated magnetic-field sensors. Currently, this technology is still cost-intensive and mainly found in research. Here we propose one of the smallest fully integrated quantum sensors to date based on nitrogen vacancy (NV) centers in diamond microcrystals. It is an extremely cost-effective device that integrates a pump light source, photodiode, microwave antenna, filtering and fluorescence detection. Thus, the sensor offers an all-electric interface without the need to adjust or connect optical components. A sensitivity of 28.32nT/Hz---√ and a theoretical shot noise limited sensitivity of 2.87 nT/Hz---√ is reached. Since only generally available parts were used, the sensor can be easily produced in a small series. The form factor of (6.9 × 3.9 × 15.9) mm3 combined with the integration level is the smallest fully integrated NV-based sensor proposed so far. With a power consumption of around 0.1W, this sensor becomes interesting for a wide range of stationary and handheld systems. This development paves the way for the wide usage of quantum magnetometers in non-laboratory environments and technical applications.}, language = {de} }