Thinking on different wavelengths: new approach to circuit design introduces next-level quantum computing
Peer-Reviewed Publication
Updates every hour. Last Updated: 5-Apr-2026 00:16 ET (5-Apr-2026 04:16 GMT/UTC)
Researchers from The University of Osaka have developed a unique approach to delivering laser light through photonic circuitry for controlling the states of trapped ions, representing a potential novel method for overcoming challenges in quantum computing technology.
When California neighborhoods increased their number of zero-emissions vehicles (ZEV) between 2019 and 2023, they also experienced a reduction in air pollution. For every 200 vehicles added, nitrogen dioxide (NO₂) levels dropped 1.1%. The results, obtained from a new analysis based on statewide satellite data, are among the first to confirm the environmental health benefits of ZEVs, which include fully electric and plug-in hybrid cars, in the real world. The study was funded in part by the National Institutes of Health and just published in The Lancet Planetary Health. For the analysis, the researchers divided California into 1,692 neighborhoods, using a geographic unit similar to zip codes. They obtained publicly available data from the state’s Department of Motor Vehicles on the number of ZEVs registered in each neighborhood. ZEVs include full-battery electric cars, plug-in hybrids and fuel-cell cars, but not heavier duty vehicles like delivery trucks and semi-trucks. Next, the research team obtained data from the Tropospheric Monitoring Instrument (TROPOMI), a high-resolution satellite sensor that provides daily, global measurements of NO₂ and other pollutants. They used this data to calculate annual average NO₂ levels in each California neighborhood from 2019 to 2023. Over the study period, a typical neighborhood gained 272 ZEVs, with most neighborhoods adding between 18 and 839. For every 200 new ZEVs registered, NO₂ levels dropped 1.1%, a measurable improvement in air quality. To confirm that these results were reliable, the researchers conducted several additional analyses. They accounted for pandemic-related changes as a contributor to NO₂ decline, such as excluding the year 2020 and controlling for changing gas prices and work-from-home patterns. The researchers also confirmed that neighborhoods that added more gas-powered cars saw the expected rise in pollution. Finally, they replicated their results using updated data from ground-level monitors from 2012 to 2023.
Researchers from Kumamoto University have developed a new peptide-based technology that enables insulin—normally injected—to be taken orally while still powerfully lowering blood sugar. Their breakthrough, demonstrated in diabetic mice, could pave the way for needle-free insulin treatments that are safer, simpler, and more comfortable for patients.
Adversarial examples—images subtly altered to mislead AI systems—are used to test the reliability of deep neural networks. However, existing methods often produce images with unnatural noise that is easy to detect. In a recent study, researchers from Japan developed “IFAP,” a new framework that aligns adversarial noise with the spectral characteristics of the original image. Extensive tests show that IFAP generates more natural-looking perturbations while remaining highly effective and resistant to common defenses.
A research team from the Institute of Physics, Chinese Academy of Sciences has developed a novel DNA origami-based technique to synthesize stable, monolithic amorphous silver nanostructures under ambient conditions. By using DNA scaffold with fivefold rotational symmetry, the method introduces geometric frustration that effectively suppresses crystallization in metallic silver, a traditionally challenging feat due to the natural tendency of silver to form crystalline structures. Detailed characterization and molecular dynamics simulations demonstrate that these amorphous silver domains exhibit high stability and disordered atomic arrangements, opening new avenues for innovative applications in electronics, catalysis, and plasmonics.