Synchrotron radiation sources: toolboxes for quantum technologies
A special look at the BESSY II experimental hall. © Volker Mai/HZB
The new edition of the Hitchhiker's Guide to synchrotron and FEL light sources for quantum technology has just been published, in print and online. © Anna Makarova/HZB
Synchrotron radiation sources generate highly brilliant light pulses, ranging from infrared to hard X-rays, which can be used to gain deep insights into complex materials. An international team has now published an overview on synchrotron methods for the further development of quantum materials and technologies in the journal Advanced Functional Materials: Using concrete examples, they show how these unique tools can help to unlock the potential of quantum technologies such as quantum computing, overcome production barriers and pave the way for future breakthroughs.
In quantum technologies, quantum physical principles such as superposition, interference and entanglement play a decisive role in their function. Components in quantum technology can perform calculations orders of magnitude more efficiently and encrypt information (quantum computing) or deliver unprecedented measurement accuracy in sensors. However, developing such components for practical use remains challenging because quantum systems are inherently sensitive to environmental disturbances, making precise control under normal conditions difficult. To make progress in this area and identify sources of error, it is essential that the materials and devices are thoroughly characterised and better understood.
Synchrotron and FEL radiation sources provide an ideal toolkit for this purpose. The available methods include non-destructive imaging, X-ray diffraction, spectroscopy, spectromicroscopy and investigations of electronic and magnetic nanostructures.
A team from HZB has written this overview together with colleagues from universities and other European synchrotron radiation sources.
Note:
The "Hitchhiker's Guide" to synchrotron and FEL light sources for quantum technology has been now printed and is available online ( www.helmholtz-berlin.de/srforqt ).
This brochure briefly introduces key methods and applications while offering a detailed directory of European experimental stations particularly suited for research in quantum technologies along with access modes and contacts.
"Hitchhiker's Guide" to synchrotron and FEL light sources for quantum technology
Anna Makarova, Oliver Rader, Kristiaan Temst, Jean Daillant (eds.)
- Only at BESSY II worldwide: IR nanoscopy at very long THz wavelengthsThe team at the IRIS beamline at BESSY II has created a new experimental option: They achieved infrared nanoscopy with a spatial resolution of around 50 nm at very long THz wavelengths. This was possible thanks to a temporal pattern of light pulses known as the low-alpha operating mode at BESSY II. Worldwide, BESSY II is the only synchrotron light source at which users could perform nanoscopy in a single setup from 25 to 4000 cm-1, a unique opportunity for ultra-broadband characterisation of complex materials at the nanoscale in both the life sciences and materials sciences.
- Ultrafast demagnetisation - Thinner iron, stronger effectThe thinner an iron film, the more easily it can be demagnetised by a laser pulse. Researchers at the University of Duisburg-Essen, working with Helmholtz-Zentrum Berlin and other partners, have discovered why: the key lies in the magnetic order at the material's interfaces. In the long term, these findings could contribute to the development of new technologies for magnetic data storage. The results have been published in the scientific journal Advanced Science.
- Blind spot for the arrangement of atomsArtificial intelligence is increasingly being used to predict the properties of new materials. A research team from Jena and the United States now shows in a study published in the journal Nature Computational Science that when language models are used for this purpose, they reliably identify which types of atoms a material contains. However, they make insufficient use of information about how those atoms are arranged in space. Neither larger models nor additional training data resolve this weakness. For material properties that depend strongly on structure, AI models specifically designed to process spatial relationships are therefore the more reliable choice. (DOI: 10.1038/s43588-026-01045-2)