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Category: computing

Researchers unlock hidden dimensions inside a single photon

Researchers have discovered new ways to shape quantum light, creating high-dimensional states that can carry much more information per photon. Using advanced tools like on-chip photonics and ultrafast light structuring, they’re pushing quantum communication and imaging into exciting new territory. Although long-distance transmission remains tricky, innovative approaches—such as topological quantum states—could make these fragile signals far more resilient. The momentum suggests quantum optics is entering a bold new phase.

New technique spots hidden defects to boost reliability of ultrathin electronics

Future devices will continue to probe the frontier of the very small, and at scales where functionality depends on mere atoms, even the tiniest flaw matters. Researchers at Rice University have shown that hard-to-spot defects in a widely used two-dimensional insulator can trap electrical charges and locally weaken the material, making it more likely to fail at lower voltages. The findings are published in Nano Letters.

“By showing practical ways to detect when and where these defects form, we help make future devices more reliable and repeatable,” said Hae Yeon Lee, an assistant professor of materials science and nanoengineering at Rice, who is a corresponding author on the study.

Building ultrathin electronics such as advanced transistors, photodetectors and quantum devices involves stacking sheets of different 2D materials on top of each other into “heterostructures.” Hexagonal boron nitride (hBN), prized for being atomically flat and chemically stable, is a common building block.

What does it mean to compute? Framework maps hidden computations running inside natural dynamic systems

Some computers are easy to spot. Artificial, human-built computers like those found in smartphones and laptops are abstract dynamic systems with observable computational elements like input, output, energy cost, and logical processes. Other computers aren’t so readily recognized.

Scientists have argued that many natural dynamic systems—from cells to brains to turbulence in fluids—carry out computations, too. However, it’s not always been clear what these dynamic systems are computing, or how they might be harnessed to solve tasks, says SFI Professor David Wolpert.

Biology, not physics, holds the key to reality

Three centuries after Newton described the universe through fixed laws and deterministic equations, science may be entering an entirely new phase.

According to biochemist and complex systems theorist Stuart Kauffman and computer scientist Andrea Roli, the biosphere is not a predictable, clockwork system. Instead, it is a self-organising, ever-evolving web of life that cannot be fully captured by mathematical models.

Organisms reshape their environments in ways that are fundamentally unpredictable. These processes, Kauffman and Roli argue, take place in what they call a “Domain of No Laws.”

This challenges the very foundation of scientific thought. Reality, they suggest, may not be governed by universal laws at all—and it is biology, not physics, that could hold the answers.

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Frequently distracted? Your brain rhythms may be to blame

Scientists may have new answers to why pop-ups or notifications grab our attention. Turns out our attention is on a cycle, shifting seven to 10 times per second. This rhythmic occurrence may be crucial for survival, as it prevents us from becoming overly focused on one thing in our environment. It could help us to see a car backing up in a parking lot while we search for where we parked, or to duck to avoid a low-hanging tree branch on a walk while watching a kid ride a bike.

However, these windows that shift our attention could also make us more susceptible to distractions, especially in modern times. As we live in a world surrounded by screens, digital alerts, and other visual stimuli, these frequent and innate windows for shifting attention may make it easier to be pulled away from a task.

“For our ancestors who had to continue to monitor the environment for predators while foraging for food, this was a beneficial trait,” said Ian Fiebelkorn, Ph.D., assistant professor of Neuroscience at the Del Monte Institute for Neuroscience at the University of Rochester and senior author of a study out in the journal PLOS Biology. “But in our modern environment, with laptops open in front of us and a smartphone nearby, rhythmically occurring windows for beneficial attentional shifts might also work against us. That is, rhythmically occurring windows for attentional shifts are also associated with increased susceptibility to distracting information.”

Your car’s tire sensors could be used to track you

Researchers at IMDEA Networks Institute, together with European partners, have found that tire pressure sensors in modern cars can unintentionally expose drivers to tracking. Over a ten-week study, they collected signals from more than 20,000 vehicles, revealing a hidden privacy risk and highlighting the need for stronger security measures in future vehicle sensor systems.

Most modern cars are equipped with a Tire Pressure Monitoring System (TPMS), mandatory since the late 2000s in many countries for their contribution to road safety. This system uses small sensors in each wheel to monitor tire pressure and sends wireless signals to the car’s computer to alert the driver if a tire is underinflated.

However, the researchers found that these tire sensors also send a unique ID number in clear, unencrypted wireless signals, meaning that anyone nearby with a simple radio receiver can capture the signal, and recognize the same car again later. Most vehicle tracking today uses cameras that need clear visibility and line-of-sight to a car. TPMS tracking is different: tire sensors automatically send radio signals that pass through walls and vehicles, allowing small hidden wireless receivers to capture them without being seen.

A robust new telecom qubit identified in silicon

Quantum technologies are anticipated to transform computing, communication, and sensing by harnessing the unusual behavior of matter at the atomic scale. Translating quantum’s promise into practical devices will require physical systems that have desirable quantum properties and can be easily manufactured. Silicon, the material behind today’s computer chips, is highly attractive as a platform because it plays to the strengths of the trillion-dollar semiconductor industry that has already been built. Identifying quantum building blocks—qubits—in silicon is, therefore, an important frontier research area.

In a new study, researchers in UC Santa Barbara materials professor Chris Van de Walle’s Computational Materials Group identified a robust new qubit in silicon, called the CN center. The work is published in the journal Physical Review B.

Qubits can be based on atomic-scale defects in a crystal. A prototype example is the NV center, which consists of a nitrogen (N) atom sitting next to a vacancy (V, a missing carbon atom) in a diamond crystal. These defects can interact with both electrons and light, allowing them to emit single photons (quanta of light) that can transmit quantum information or be processed in quantum networks.

A protocol to realize near-perfect atom-photon entanglement

Quantum technologies, devices and systems that operate leveraging quantum mechanical effects, could tackle some tasks more reliably and efficiently than any classical technology could. In recent years, some researchers have been trying to realize quantum networks to scale up the size of quantum computers, which essentially consist of several connected smaller quantum processors.

The devices in a quantum network are connected via entanglement, a quantum effect via which distant quantum particles become inextricably linked and share a single correlated state. One way to create entanglement between different atomic quantum computers is to use an atom-cavity interface, a system in which atoms interact with light inside an optical cavity.

Over two decades ago, two physicists at the University of Aarhus introduced a protocol designed to produce high-quality entangled states, reliably connecting devices in a network. Despite its potential, this framework, known as the state-carving (SC) protocol, was found to only succeed in 50% of cases, which has so far prevented its application on a large scale.

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