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Efficient quantum process tomography for enabling scalable optical quantum computing

Optical quantum computers are gaining attention as a next-generation computing technology with high speed and scalability. However, accurately characterizing complex optical processes, where multiple optical modes interact to generate quantum entanglement, has been considered an extremely challenging task.

A KAIST research team has overcome this limitation, developing a highly efficient technique that enables complete characterization of complex multimode in experiment. This technology, which can analyze large-scale operations with less data, represents an important step toward scalable and quantum communication technologies.

A research team led by Professor Young-Sik Ra from the Department of Physics has developed a Multimode Quantum Process Tomography technique capable of efficiently identifying the characteristics of second-order nonlinear optical quantum processes that are essential for optical quantum computing.

Hollow glass fiber sensors withstand extreme radiation in particle accelerator tests

A slender glass fiber no thicker than a human hair placed across a particle beam could improve accelerator monitoring. A team is testing the use of hollow-core optical fibers to measure the profile and position of the beams extracted from the Super Proton Synchrotron, CERN’s second-largest accelerator, which feeds the experiments located in the North Area.

Unlike conventional fibers, which guide light through solid glass, hollow-core optical fibers are mostly empty inside but have a microstructure design that guides light through resonance–antiresonance effects on the electromagnetic field.

By filling these fibers with a scintillating gas—a gas that emits tiny flashes of light when struck by particles—scientists can create a simple yet powerful sensor that helps them to adjust the beam profile and position and may even allow them to measure the delivered beam dose in real time.

Sharper MRI scans may be on horizon thanks to new physics-based model

Researchers at Rice University and Oak Ridge National Laboratory have unveiled a physics-based model of magnetic resonance relaxation that bridges molecular-scale dynamics with macroscopic magnetic resonance imaging (MRI) signals, promising new insight into how contrast agents interact with water molecules. This advancement paves the way for sharper medical imaging and safer diagnostics using MRI.

The study is published in The Journal of Chemical Physics.

This new approach, known as the NMR eigenmodes framework, solves the full physical equations that can be used to interpret how water molecules relax around metal-based imaging agents, a task that previous models approximated. These findings could alter the development and application of new contrast agents in both medicine and materials science.

Seven npm Packages Use Adspect Cloaking to Trick Victims Into Crypto Scam Pages

Cybersecurity researchers have discovered a set of seven npm packages published by a single threat actor that leverages a cloaking service called Adspect to differentiate between real victims and security researchers to ultimately redirect them to sketchy crypto-themed sites.

The malicious npm packages, published by a threat actor named “dino_reborn” between September and November 2025, are listed below. The npm account no longer exists on npm as of writing.

Cloudflare hit by outage affecting global network services

Cloudflare is investigating an outage affecting its global network services, with users encountering “internal server error” messages when attempting to access affected websites and online platforms.

Cloudflare’s Global Network is a distributed infrastructure of servers and data centers located in over 330 cities across more than 120 countries, delivering content delivery, security, and performance optimization services.

It has 449 Tbps global network edge capacity and connects Cloudflare to over 13,000 networks, including every major ISP, cloud provider, and enterprise worldwide.

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