Category Technology/Electronics

Machine Learning Contributes to Better Quantum Error Correction

ai-generated image
An AI-generated image illustrating the work

Researchers from the RIKEN Center for Quantum Computing have used machine learning to perform error correction for quantum computers—a crucial step for making these devices practical—using an autonomous correction system that despite being approximate, can efficiently determine how best to make the necessary corrections.

In contrast to classical computers, which operate on bits that can only take the basic values 0 and 1, quantum computers operate on “qubits”, which can assume any superposition of the computational basis states...

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New Material offers more Durable, Sustainable Multi-level Non-volatile Phase Change Memory

Schematics of electrical resistivity switching and reentrant thermal in Sr2.5Bi0.5NiO5. The top two figures are the crystal structures of Sr2.5Bi0.5NiO5 with different Sr/Bi arrangements. The bottom figure is the crystal structure of double perovskite Sr2BiNiO4.5. The Blue value denotes electrical resistivity of each nickel. ©Hideyuki Kawasoko et al.

Scientists have achieved a breakthrough in the development of non-volatile phase change memory −a type of electronic memory that can store data even when the power is turned off−−in a material that has never displayed the sort of characteristics that such memory requires.

Until now, phase change memory has primarily been developed using chalcogenides − a group of materials known to exhibit reversible electrical changes when they ...

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Better Cybersecurity with New Material

Two persons in a lab with a laserinstrument infront of them on a table full of cables.

Quantum random number generation based on a perovskite LED. Digital information exchange can be safer, cheaper and more environmentally friendly with the help of a new type of random number generator for encryption developed at Linköping University, Sweden. The researchers behind the study believe that the new technology paves the way for a new type of quantum communication.

In an increasingly connected world, cybersecurity is becoming increasingly important to protect not just the individual, but also, for example, national infrastructure and banking systems. And there is an ongoing race between hackers and those trying to protect information. The most common way to protect information is through encryption...

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Brain-inspired Learning Algorithm realizes Metaplasticity in Artificial and Spiking Neural Networks

Catastrophic forgetting, an innate issue with backpropagation learning algorithms, is a challenging problem in artificial and spiking neural network (ANN and SNN) research.

The brain has somewhat solved this problem using multiscale plasticity. Under global regulation through specific pathways, neuromodulators are dispersed to target brain regions, where both synaptic and neuronal plasticity are modulated by neuromodulators locally. Specifically, neuromodulators modify the capacity and property of neuronal and synaptic plasticity. This modification is known as metaplasticity.

Researchers led by Prof...

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