Silicon carbide (SiC) is a hard crystalline compound of silicon and carbon that rarely occurs in nature and is generally synthetically produced. In addition to being used to create ceramic plates, bulletproof vests and other commercial products, SiC is a...
Self-testing is a promising method to infer the physics underlying specific quantum experiments using only collected measurements. While this method can be used to examine bipartite pure entangled states, so far it could only be applied to limited kinds of quantum...
For more than half a decade, the Majorana Collaboration, a large consortium of researchers from different universities worldwide, have been trying to observe neutrinoless double-beta decay, one of the rarest forms of radioactive decay. This was done using the Majorana...
Quantum tomography is a process that involves the reconstruction and characterization of a quantum state using a series of collected measurements. Over the past few years, many physicists have been trying to use this process to learn more about quantum states, as this...
Researchers at Harvard University, the Lawrence Berkeley National Laboratory, Arizona State University, and other institutes in the United States have recently observed an antiferromagnetic metal phase in electron-doped NdNiO3 a material known to be a...
Strong interactions between particles in physical systems can result in various highly correlated ground states. These states and the strong correlations underpinning them have been extensively explored in recent years.
Particle accelerators are devices that use electromagnetic fields to speed up particles and collide them together or against a specific target. These devices are widely used by physicists to study particles, the forces that drive them and interactions between them.
Physicists have been trying to identify reliable strategies to manipulate quantum states in solid-state materials, cold atoms and other systems, as this could inform the development of new technologies. One of these strategies is Floquet engineering, which entails the...
Architectures based on artificial neural networks (ANNs) have proved to be very helpful in research settings, as they can quickly analyze vast amounts of data and make accurate predictions. In 2020, Google's British AI subsidiary DeepMind used a new ANN architecture...
All About Circuits spoke with IBM physicist and chief quantum hardware architect Oliver Dial to get exclusive details on IBM's 400+ qubit quantum processor: Osprey.