/ News, Research
Superconducting qubits – voltage tuned
Researchers from the SNI network have developed a new qubit platform that could be suitable for various applications. In contrast to conventional superconducting qubits made of metals, the team has combined a technologically relevant…
/ News, Research, Erfolgsgeschichten
Method for detecting nanoparticles in early life nutrition
Researchers from the SNI network have developed a technique that can detect nanoparticles (that is, particles with a diameter of less than 100 nanometers) in early life nutrition products with a high sample throughput. Nanoparticles are…
/ News, Research
Using light to produce medication and plastics more efficiently
Anyone who wants to produce medication, plastics or fertilizer using conventional methods needs heat for chemical reactions – but not so with photochemistry, where light provides the energy. The process to achieve the desired product also…
/ News, Research
Strong spin-photon coupling
Researchers from the SNI network have achieved strong coupling between an electron spin and a single photon. Normally, an electron spin couples only weakly to photons. To achieve strong coupling with a single photon, the researchers used a…
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Mass-producible miniature quantum memory
Researchers at the University of Basel have built a quantum memory element based on atoms in a tiny glass cell. In the future, such quantum memories could be mass-produced on a wafer. It is hard to imagine our lives without networks such…
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Increased coherence thanks to cooling
A team of researchers from the SNI network has increased the coherence of an electron spin in a quantum dot to over half a microsecond for the first time. The scientists achieved the more than 150-fold increase in coherence time by using…
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Investigation of “magic” graphene
Researchers from the SNI network have used an atomic force microscope in pendulum mode to study a two-layer graphene device. In this bilayer graphene, the two layers of pure carbon were rotated by the “magic angle” of approximately 1.1°…
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Better classification with machine learning
Researchers from the SNI network have introduced a new machine learning technique specifically designed to enhance the analysis of protein unfolding using Atomic Force Microscopy (AFM) data. The team of Prof. Michael Nash (University of…
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Vibrations of molecules visualized and studied
Researchers from the SNI network have developed a new method for imaging the vibration of molecules. The scientists, led by Professor Ernst Meyer from the Department of Physics at the University of Basel, have studied a specific pyrene…