The simulation of strongly interacting many-body systems is a key objective of quantum physics research, as it can help to test the predictions of physics theories and yield new valuable insight. Researchers at Quantinuum, ...
A new twist on a classic material could advance quantum computing and make modern data centers more energy efficient, according to a team led by researchers at Penn State.
Imagine industrial processes that make materials or chemical compounds faster, cheaper, and with fewer steps than ever before. Imagine processing information in your laptop in seconds instead of minutes or a supercomputer ...
Researchers from EeroQ, the quantum computing company pioneering electron-on-helium technology, have published a paper, titled "Sensing and Control of Single Trapped Electrons Above 1 Kelvin," in Physical Review X that details ...
Typically, the charge of electrons is used to store and process information in electronics-based devices. In spintronics, the focus is instead on the magnetic moment or on magnetic vortices, so-called skyrmions—the goal is ...
Quantum computing is still in its early stages of development, but researchers have extensively explored its potential uses. A recent study conducted at São Paulo State University (UNESP) in Brazil proposed a hybrid quantum-classical ...
A new class of highly efficient and scalable quantum low-density parity-check error correction codes, capable of performance approaching the theoretical hashing bound, has been developed by scientists at the Institute of ...
One often-repeated example illustrates the mind-boggling potential of quantum computing: A machine with 300 quantum bits could simultaneously store more information than the number of particles in the known universe.
RIKEN physicists have found a way to speed up the readout of qubits in superconducting quantum computers, which should help to make them faster and more reliable.
The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few years, generative materials models from companies like Google, Microsoft, and Meta have drawn on ...
