Category Technology/Electronics

Quantum computer completes verified task beyond practical reach of classical simulations

Black and white toned photo of a set of large metallic boxes with blurred people walking past.
IBM and researchers from the University of Chicago announced a demonstration in quantum computing that meets the fundamental criteria for “quantum advantage”—the point where quantum computers can be confirmed to have outperformed classical computers.Photo courtesy IBM

IBM and researchers from the University of Chicago announced a demonstration in quantum computing that meets the fundamental criteria for “quantum advantage”—the point where quantum computers can be confirmed to have outperformed classical computers on trusted computations.

The collaboration said its system had performed computations beyond the reach of leading classical simulation methods while providing confidence that the computation returned accurate results.

In their new paper, the researchers showed th...

Read More

2D quantum memory device reaches single-electron limit of information storage

2D quantum memory device reaches the physical limit of information storage with a single electron
Room-temperature 2D single-electron memory device. Credit: Science (2026). DOI: 10.1126/science.aeg6638

Most electronic memory storage devices require the ability to trap large numbers of electrons for each bit of memory. In an ideal world, however, it would take only one electron. This would reduce space requirements and power consumption for devices. Now, a team in China has realized this goal with an ultrathin device capable of minimizing the stray capacitance that plagued earlier attempts. The new study, published in Science, describes how this novel device has overcome challenges in implementing the single-electron design.

The capacitance problem
In theory, each time an electron is added or removed, it should create a distinct, step-like change in a transistor’s switching volt...

Read More

Brain-inspired AI is capable of flexible planning and problem-solving while using far less energy

Brain-inspired AI developed by Graz University of Technology is capable of flexible planning and problem-solving
Wolfgang Maass from the Institute of Machine Learning and Neural Computation at Graz University of Technology. Credit: Lunghammer – TU Graz

The capabilities of large AI systems are constantly improving, but they consume a great deal of energy during training and operation. The human brain, by contrast, is extremely energy-efficient: It requires only around 20 watts.

Researchers at Graz University of Technology, in collaboration with international partners, have developed a novel brain-inspired AI model that can plan flexibly and solve complex problems. In doing so, it consumes significantly less energy than multilayer neural networks or large language models. The study is published in the journal Nature Machine Intelligence.

“The brain works in a completely different way from tod...

Read More

Stretchable antenna keeps wearable health sensors in tune with human health

Close up of a person's chest, wearing a olive green sleeveless shirt, with a sensor attached to it.
Researchers demonstrated a soft, printable hydrogel electrode that conforms to the skin while recording physiological signals. The material maintained close contact during movement and under wet conditions, offering a potential platform for future wearable health-monitoring technologies. Credit: Huanyu “Larry” Cheng / Penn State. All Rights Reserved.

Wearable health monitors are designed to move with the body. But for many devices, movement creates a problem: The more a person bends, stretches, reaches or runs, the harder it can be for the device to keep a stable wireless connection. Penn State researchers and international collaborators set out to solve that problem by developing a soft, stretchable antenna that can keep working even when pulled in different directions...

Read More