Work
New algorithms to determine eigenstates and thermal states on quantum computers
Determining the quantum mechanical behavior of many interacting particles is essential to solving important problems in a variety of scientific fields, including physics, chemistry and mathematics....
Model suggests how early dark energy could resolve the Hubble tension
The universe is continuously expanding, yet the exact rate at which it does so remains unclear, and has so far only been approximated using NASA's Hubble Space Telescope and other similar...
Study shows the difference between classical flows and superfluid helium in 3-D counter-flow
Researchers at the Weizmann Institute of Science, the University of Rome, CNRS and the University of Helsinki have recently carried out a study investigating the difference between 3-D anisotropic...
Study unveils a new supersolid phase in dipolar Bose-Einstein condensates
Generally, matter exists in three distinct forms: as a solid, a liquid or a gas. Past physics research, however, has unveiled other curious states of matter, one of which is supersolidity. In a...
Using machine learning to reconstruct deteriorated Van Gogh drawings
Researchers at TU Delft in the Netherlands have recently developed a convolutional neural network (CNN)-based model to reconstruct drawings that have deteriorated over time. In their study,...
Researchers develop a fleet of 16 miniature cars for cooperative driving experiments
A team of researchers at The University of Cambridge has recently introduced a unique experimental testbed that could be used for experiments in cooperative driving. This testbed, presented in a...
An approach for securing audio classification against adversarial attacks
Adversarial audio attacks are small perturbations that are not perceivable by humans and are intentionally added to audio signals to impair the performance of machine learning (ML) models. These...
Evolving neural networks with a linear growth in their behavior complexity
Evolutionary algorithms (EAs) are designed to replicate the behavior and evolution of biological organisms while solving computing problems. In recent years, many researchers have developed EAs and...
Spintronic memory cells for neural networks
In recent years, researchers have proposed a wide variety of hardware implementations for feed-forward artificial neural networks. These implementations include three key components: a dot-product...
A new quasi-2D superconductor that bridges a ferroelectric and an insulator
Researchers at the Zavoisky Physical-Technical Institute and the Southern Scientific Center of RAS, in Russia, have recently fabricated quasi-2-D superconductors at the interface between a...