Scientists unveil technique to build ultra-thin material stacks that promise quantum breakthrough
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Updates every hour. Last Updated: 26-Oct-2026 23:16 ET (27-Oct-2026 03:16 GMT/UTC)
When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some problems that even the most powerful AI can reliably solve, no matter how much data it’s given.
Future quantum computing will require correlations between distant modules—a feature known as distributed entanglement. Traditionally, such entanglement has relied on active control and repeated measurements. Now, physicists at the Institute of Science and Technology Austria (ISTA) have realized a fully autonomous method for distributed entanglement using a “quantum bath” of correlated light particles. Published on Monday in Physical Review X, their work experimentally confirms a 20‑year‑old prediction and could provide a new platform for applied quantum technologies.
Researchers developed an evaluation procedure that tests generative AI models for harmful capabilities without generating outputs. This could enable auditors to identify open-source models that have been adapted to produce illegal content, like child sexual abuse material (CSAM).
New findings are shedding light on longstanding debates over the behavior of ferroelectric materials when those materials are exposed to electric fields. The findings stem from the use of a novel technique that allows researchers to observe the real-time behavior of domain walls in ferroelectric materials as they are “poled” and “depoled.”