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Predictive surrogates could cut quantum computing measurement overhead by more than 99.97%

Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of outperforming classical computers on some tasks. Despite their potential, the use of these systems remains very limited, due to their high cost and other challenges that have so far prevented their large-scale fabrication.

Researchers at the Henan Key Laboratory of Quantum Information and Cryptography and Nanyang Technological University have developed predictive surrogates, new computational models that can learn and reproduce the outputs of quantum processors.

These models, introduced in a paper published in Nature Communications, could be used to extract useful information from quantum computers and perform computations more efficiently with provable guarantees, even if users do not have direct access to advanced and expensive quantum computing hardware.

One-Character Linux Kernel Flaw Enables Local Root Access, Exploits Now Public

FuzzingLabs reproduced the bug on RHEL 10 ahead of Pwn2Own Berlin 2026, building its own root exploit by a different route. The timeline is tight: the fix shipped February 5, FuzzingLabs published April 16, and Exodus’s detailed write-up landed June 8.

The technique is now documented across Debian, Ubuntu, and Red Hat. Because the bug is in the mainline, any distribution that shipped a vulnerable kernel with both features enabled is exposed, unless a distribution’s hardening or namespace restrictions block the path.

CVE-2026–23111 lands in the middle of a heavy run of Linux local-root disclosures. Recent weeks have brought Copy Fail, the Dirty Frag chain, its Fragnesia variant, DirtyDecrypt, and a nine-year-old ptrace flaw that reads /etc/shadow and runs commands as root.

Organic transistor unites memory, signal processing and light emission below 3.5 V

Seoul National University researchers have developed an ultra-low-voltage electrochemical organic light-emitting transistor that can simultaneously perform signal processing, memory and light emission within a single semiconductor device. By introducing an ion-transport enhancer into the light-emitting polymer semiconductor channel, the team enabled electric-double-layer formation at the drain electrode interface, allowing efficient electron injection without relying on the high voltages or unstable n-type doping used in conventional approaches.

As a result, the device maintained a simple single-active-layer structure while achieving both low-voltage operation and wide, spatially pinned light emission, together with neuromorphic signal-processing functionality.

The work is published in the journal Nature Materials.

Ultra-thin semiconductors overcome performance limits with localized thick-contact design

As semiconductor chips become increasingly thinner, the components inside chips are locked in a fierce race to achieve the ultimate ultra-thin state. However, this has presented a structural limitation: the thinner the device, the harder it is for electricity to flow.

Recently, a research team at POSTECH (Pohang University of Science and Technology) successfully resolved this issue through a simple yet innovative approach: “thickening only the necessary parts.”

The research team, led by Professor Byoung Hun Lee from POSTECH’s Department of Electrical Engineering and the Department of Semiconductor Engineering, has developed a technology that dramatically lowers contact resistance by redesigning the metal-semiconductor contact structure in ultra-thin tellurium (Te) transistors.