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Now you see it, now you don’t: Material can transition between quantum states

A team of scientists led by the U.S. Department of Energy’s (DOE) Argonne National Laboratory has identified a rare, switchable quantum property in a new type of nickel sulfide material. The discovery could have applications in high-speed transistors, adaptive sensors and other devices that require a material’s electronic structure to be controlled on the fly. The research is published in the journal Matter.

The compound, KxNi4S2 (0 ≤ x ≤ 1), contains nickel and sulfur sandwiched between layers of potassium. The “(0 ≤ x ≤ 1)” in the name means that the amount of potassium in the material can vary from no potassium at all to a full potassium atom, depending on the sample.

First detailed in a 2021 paper, it was created as part of an ongoing quest to develop more superconductors. As researchers examined the layered material’s characteristics, they happened upon a remarkable feature: applying an electrical current could drive the potassium layers out, collapsing the sandwich and changing the material’s structure.

Dancing to invisible choreography, quantum computers can balance the noise

Large-scale quantum computers are waiting in the wings. One of the main reasons we don’t have them yet is because quantum hardware is so noisy. This isn’t the type of noise you’d want to shush in a crowded theater. When it comes to computers, noise means errors that crop up when conditions aren’t perfect.

“We need to find a way to detect errors and correct for them,” said graduate student Evangelos Piliouras. Working with physicist Ed Barnes, Piliouras devised a method to reduce the noise and make quantum computers more noise tolerant. His work was published in npj Quantum Information.

Noise can have real-world implications even in a traditional computer, which uses a stream of electrical signals called bits that represent the 1s and 0s that make up binary code. Noise can knock a 0 into a 1, and a credit card transaction, for instance, might fail.

Astronomers Detect Strange “Chirp” From a Supernova, Revealing Hidden Physics

Astronomers studying a distant superluminous supernova uncovered a strange pattern hidden in its light: a rapidly accelerating “chirp.” For decades, astronomers have used distant supernova explosions as cosmic beacons to study fundamental physics and measure properties of the universe. While exam

New Torg Grabber infostealer malware targets 728 crypto wallets

A new info-stealing malware called Torg Grabber is stealing sensitive data from 850 browser extensions, more than 700 of them for cryptocurrency wallets.

Initial access is obtained through the ClickFix technique by hijacking the clipboard and tricking the user into executing a malicious PowerShell command.

According to researchers at cybersecurity company Gen Digital, Torg Grabber is actively developed, with 334 unique samples compiled in three months (between December 2025 and February 2026) and new command-and-control (C2) servers registered every week.

Device Code Phishing Hits 340+ Microsoft 365 Orgs Across Five Countries via OAuth Abuse

Construction, non-profits, real estate, manufacturing, financial services, healthcare, legal, and government are some of the prominent sectors targeted as part of the campaign.

“What also makes this campaign unusual is not just the device code phishing techniques involved, but the variety of techniques observed,” the company said. “Construction bid lures, landing page code generation, DocuSign impersonation, voicemail notifications, and abuse of Microsoft Forms pages are all hitting the same victim pool through the same Railway.com IP infrastructure.”

Device code phishing refers to a technique that exploits the OAuth device authorization flow to grant the attacker persistent access tokens, which can then be used to seize control of victim accounts. What’s significant about this attack method is that the tokens remain valid even after the account’s password is reset.

GitHub adds AI-powered bug detection to expand security coverage

GitHub is adopting AI-based scanning for its Code Security tool to expand vulnerability detections beyond the CodeQL static analysis and cover more languages and frameworks.

The developer collaboration platform says that the move is meant to uncover security issues “in areas that are difficult to support with traditional static analysis alone.”

CodeQL will continue to provide deep semantic analysis for supported languages, while AI detections will provide broader coverage for Shell/Bash, Dockerfiles, Terraform, PHP, and other ecosystems.

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