Category Technology/Electronics

Research team makes Breakthrough Discovery in Light Interactions with Nanoparticles, paving the way for Advances in Optical Computing

Scattered waves from a nanoscale object encode the solution of a complex mathematical problem when interrogated by tailored input signals (Credit: Heedong Goh)

Computers are an indispensable part of our daily lives, and the need for ones that can work faster, solve complex problems more efficiently, and leave smaller environmental footprints by minimizing the required energy for computation is increasingly urgent. Recent progress in photonics has shown that it’s possible to achieve more efficient computing through optical devices that use interactions between metamaterials and light waves to apply mathematical operations of interest on the input signals, and even solve complex mathematical problems...

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Novel Design greatly Improves Output from Commercial Circuit Boards next to Superconducting Qubits

Green commercial circuit boards—the largest is 11.4 cm (4.5 in) by 19 cm (7.5  in)—inside a dilution refrigerator. When enclosed and pumped down, the system reaches temperatures only a few thousandths of a degree above absolute zero. Credit: NIST

Researchers at the National Institute of Standards and Technology (NIST) have constructed and tested a system that allows commercial electronic components—such as microprocessors on circuit boards—to operate in close proximity with ultracold devices employed in quantum information processing. That design allows 4X as much data to be output for the same number of connected wires.

In the rising excitement about quantum computing, it can be easy to overlook the physical fact that the data produced by manipulation of quantum bits (qubit...

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Evidence for Exotic Magnetic Phase of Matter

Scientists identify a long-sought magnetic state predicted nearly 60 years ago. Scientists at the U.S. Department of Energy’s Brookhaven National Laboratory have discovered a long-predicted magnetic state of matter called an “antiferromagnetic excitonic insulator.”

“Broadly speaking, this is a novel type of magnet,” said Brookhaven Lab physicist Mark Dean, senior author on a paper describing the research just published in Nature Communications. “Since magnetic materials lie at the heart of much of the technology around us, new types of magnets are both fundamentally fascinating and promising for future applications.”

The new magnetic state involves strong magnetic attraction between electrons in a layered material that make the electrons want to arrange their magnetic moments, o...

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Can Machine-Learning Models Overcome Biased Datasets?

Caption:If researchers are training a model to classify cars in images, they want the model to learn what different cars look like. But if every Ford Thunderbird in the training dataset is shown from the front, when the trained model is given an image of a Ford Thunderbird shot from the side, it may misclassify it, even if it was trained on millions of car photos.
Credits:Image courtesy of the researchers

Researchers have applied the tools of neuroscience to study when and how an artificial neural network can overcome bias in a dataset. They found that data diversity, not dataset size, is key and that the emergence of certain types of neurons during training plays a major role in how well a neural network is able to overcome dataset bias.

Artificial intelligence systems may be able t...

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