Researchers have developed ways to control particle spin using carefully shaped electromagnetic pulses. The methods underpin MRI and NMR, and optimal control theory could help improve both technologies.
Researchers are developing a way to transform magnetic fields from a single source into predetermined shapes. Tailored fields are used in technologies including MRI scanners, particle accelerators and atomic clocks, but producing them currently requires specialized magnets or large coil systems.
Researchers at the National University of Singapore and international partners demonstrated how to induce magnetism in a nonmagnetic 2D semiconductor and control it with voltage. Their findings, published in Science Advances, could support research into future spintronic technologies.
Researchers from Rutgers, IBM and collaborating institutions demonstrated a quantum computer that can monitor its internal state and respond while running. It repeatedly resets parts of the system to control chaotic behaviour.
Hybrid quantum computers could help researchers calculate how matter interacts with light and other force-carrying particles. Conventional computers have struggled to determine how individual particles behave in these interactions.
Classical physical systems can move through many configurations until their long-term behaviour no longer reveals how they began. Ergodicity describes sampling those configurations according to the appropriate statistical distribution.
Einstein’s theory predicts a singularity at the centre of every black hole, where the theory breaks down. Quantum gravity is expected to replace it with a finite structure, but the centre is hidden behind the horizon.
A quantum chip has demonstrated the ability to hold multiple photons at once, a step towards scalable quantum memory. Storing photons long enough for slower operations to catch up remains a key challenge.