Presentation description

My research explores the fast-growing field of semiconductor-based electron spin quantum sensing, focusing on methods of detection and controling tiny magnetic signals using the spin of electrons in solid-state materials. By using spintronics, we can build devices that are not only more efficient but also capable of advanced tasks like quantum computing and ultra-sensitive sensing. The challenge in this area is dealing with hyperfine interactions: the magnetic noise created by nearby atomic nuclei that can interfere with the stability of electron spins. While this interaction can disrupt quantum information, it also provides a valuable way to link electron and nuclear spins, which is important for quantum memory.

We look at how these spin states are measured and controlled using magnetic resonance techniques like electrically detected magnetic resonance (EDMR), which converts spin signals into electrical signals for easier detection. Advanced versions like pulsed EDMR and spin-echo techniques help track spin coherence and understand the environment around each spin. Isotopic engineering, such as purifying materials like silicon or replacing hydrogen with deuterium, has shown major improvements in spin coherence, even reaching coherence times of minutes at room temperature.

Finally, we explore how the design of materials and devices, from silicon layers to OLEDs, plays a huge role in achieving stable, reliable quantum behavior. These advances point toward real-world applications, ranging from better data storage and medical diagnostics to building scalable quantum computers. While challenges remain, like extending coherence times and improving control over single spins, the tools and strategies explored here bring us much closer to making practical quantum devices a reality.