Researchers at Delft University of Technology have successfully demonstrated the control and manipulation of spin waves on a chip using superconductors, providing new insights into the interaction between magnets and superconductors. Spin waves, which are waves in magnetic materials, have the potential to be used as an energy-efficient alternative to electronics. By using a superconducting electrode, the researchers were able to reflect and control the spin waves, allowing for precise manipulation. This breakthrough opens the door for the development of energy-efficient spin-wave circuits and devices, such as frequency filters and resonators, as well as applications in quantum computing.
Researchers have made a discovery in the behavior of dynamic magnetic fractal networks, known as skyrmions, which could advance neuromorphic computing capabilities. These skyrmions create magnetic spin waves with a narrow wavelength, forming an unexpected fractal structure. The researchers aim to use this discovery to develop a miniaturized, spin wave neuromorphic architecture. The findings were made through neutron scattering experiments and could have implications for future applications.
Researchers at the Lab of Nanoscale Magnetic Materials and Magnonics (LMGN) have discovered a new computing architecture that uses magnons to encode and transport data without electron flows, which involve energy loss through heating. The technique, known as magnonics, has the potential to change the current computing architecture paradigm by putting an end to the energy-inefficient separation of processors and memory storage, and achieving in-memory computation. The researchers have published their groundbreaking results in the journal Nature Communications and are already working on optimizing their approach.
