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Spintronics relies on the transport of spin currents for computing and communication applications. New device designs would be possible if this spin transport could be carried out by both electrons and magnetic waves called magnons. But spin transport via magnons typically requires electrically insulating magnets—materials that cannot be easily integrated with silicon electronics. A way to bypass that requirement has now been found by Matthias Althammer at the Bavarian Academy of Sciences and Humanities in Germany and his colleagues [1]. The researchers say that this finding could have important implications for both spintronic applications and fundamental research on spin transport.

To demonstrate their concept, Althammer and his colleagues placed two magnetic, metallic strips—each hosting coupled electrons and magnons—on a nonmagnetic, insulating substrate. In the first strip, the researchers converted electron charge currents to electron spin currents. These spin currents were transferred first to the magnons in the same strip, then across the substrate to the magnons in the second strip, and finally to the electrons in the second strip. The researchers detected this spin transport by converting the electron spin currents in the second strip to charge currents.

Althammer and his colleagues studied how the spin transport between the two strips depended on temperature and strip separation. These measurements suggested that the transport was achieved via a magnetic dipole–dipole interaction between the strips. But the researchers could not rule out the possibility that it partly or mainly occurred via crystal vibrations in the substrate. Solving this open problem, which the researchers plan to do in upcoming work, will help in optimizing devices based on this principle.

Scientists on the hunt for compact and robust sources of multicolored laser light have generated the first topological frequency comb. Their result, which relies on a small silicon nitride chip patterned with hundreds of microscopic rings, appears in the journal Science.

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Quantum computing, so the fairy tale goes, is the next big thing in technology. News has popped up time and time again noting major advancements in the field, but the latest statement from company D-Wave had people scratching their heads. Are quantum computers really the next big thing? Who’s at the forefront of the field now? Let’s have a look.

Continue reading “Biggest Self-Own in Quantum Computing, Ever” »

Microsoft has released a set of vision models called Florence 2 is a prompt-based vision model designed for computer vision and image processing tasks such as image description, object recognition, localization, and segmentation.

Researchers at the National Graphene Institute have made a groundbreaking discovery that could revolutionise energy harnessing and information computing. Their study, published in Nature (“Control of proton transport and hydrogenation in double-gated graphene”), reveals how electric field effects can selectively accelerate coupled electrochemical processes in graphene.

Electrochemical processes are essential in renewable energy technologies like batteries, fuel cells, and electrolysers. However, their efficiency is often hindered by slow reactions and unwanted side effects. Traditional approaches have focused on new materials, yet significant challenges remain.

The Manchester team, led by Dr Marcelo Lozada-Hidalgo, has taken a novel approach. They have successfully decoupled the inseparable link between charge and electric field within graphene electrodes, enabling unprecedented control over electrochemical processes in this material. The breakthrough challenges previous assumptions and opens new avenues for energy technologies.

Researchers at the Weizmann Institute of Science discovered a new type of vortex formed by photon interactions, which could advance quantum computing.

Vortex Phenomena

Continue reading “Vortex Power: The Swirl of Light Revolutionizing Quantum Computing” »

“It has been very motivating and inspiring to turn to the notes and drawings of Jupiter and its Permanent Spot made by the great astronomer Jean Dominique Cassini, and to his articles of the second half of the 17th century describing the phenomenon,” said Dr. Agustín Sánchez-Lavega.

Jupiter’s Great Red Spot was first discovered in 1,665 by astronomer Giovanni Domenico Cassini, and both scientists and the public have been awe-stricken by its beauty and the processes that created it. However, a recent study published in Geophysical Research Letters postulates that the famous spot we’ve adored for so long is not the same spot that Cassini observed centuries ago. This study holds the potential to help astronomers better understand the formation and evolution of Jupiter and the massive cyclonic storms that comprise its giant atmosphere.

For the study, the researchers analyzed historical records of both the initial discovery from Cassini, which was dubbed the “Permanent Spot” (PS) and was observed until 1,713, and the Great Red Spot (GRS), which was first observed in 1831. Combining these historical records with computer models, the researchers determined that the size changes and movements over time of PS contrast those of GRS.

Continue reading “Jupiter’s Great Red Spot: A Different Spot from Cassini’s 1665 Observation” »

The first fab at Samsung’s $17 billion Taylor campus is scheduled to begin operations by 2026.

The ability to communicate using only your thoughts might sound like the stuff of science fiction. But for people who don’t have the ability to speak or move due to injury or disease, there’s great hope that this may one day be possible using brain-computer interfaces (BCIs) that can “read” relevant brain signals and translate them into written or spoken words. A research team has made a preliminary advance in this direction by showing for the first time that a computerized brain implant can decode internal speech with minimal training.

In the new NIH-supported study, researchers implanted such a device in a brain area known to be important for representing spoken words called the supramarginal gyrus in two people with tetraplegia, a condition marked by full body paralysis from the neck down due to cervical spinal cord injury. The researchers found that the device could decode several words the participants “spoke” only in their minds. While we are far from using such a device to decode whole sentences or even phrases, and the exact mechanisms of internal speech are still under study, the findings, reported in Nature Human Behavior, are notable because it had been unclear whether the brain signals involved in thinking words could be reproducibly translated.

The findings come from a team led by Richard Andersen at the California Institute of Technology, Pasadena, CA, and Sarah Wandelt, now at the Feinstein Institutes for Medical Research in Manhasset, NY, and the study was supported by the NIH Brain Research Through Advancing Innovative Neurotechnologies® (BRAIN) Initiative Research Opportunities in Humans program. Though earlier research had shown that brain implants could decode vocalized, attempted, and mimed speech, it had yet to be seen whether internal speech could be similarly decoded.