An interdisciplinary team at the Advanced Quantum Testbed (AQT) at Lawrence Berkeley National Laboratory (Berkeley Lab) and the University of California, Berkeley's Quantum Nanoelectronics Laboratory (QNL) achieved a technical ...
We interact with bits and bytes everyday—whether that's through sending a text message or receiving an email.
When you turn on a lamp to brighten a room, you are experiencing light energy transmitted as photons, which are small, discrete quantum packets of energy. These photons must obey the sometimes strange laws of quantum mechanics, ...
It seems quantum mechanics and thermodynamics cannot be true simultaneously. In a new publication, UT researchers use photons in an optical chip to demonstrate how both theories can be true at the same time. They recently ...
EPFL scientists show that even a few simple examples are enough for a quantum machine-learning model, the "quantum neural networks," to learn and predict the behavior of quantum systems, bringing us closer to a new era of ...
Quantum electronics promises significant advances in ultra-sensitive measurements and quantum information processing. In nanoelectronic circuits, one electron can be used to precisely modify the trajectory of another electron ...
Scientists have made an important step toward developing computers advanced enough to simulate complex natural phenomena at the quantum level. While these types of simulations are too cumbersome or outright impossible for ...
The research team led by academician Guo Guangcan and Prof. Ren Xifeng from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) achieved quantum photonic sources at cryogenic ...
Paderborn researchers from the Department of Â鶹ÒùÔºics and the Institute for Photonic Quantum Systems (PhoQS) have succeeded in manufacturing quantum dots—nanoscopic structures where the material's quantum properties come ...
Despite steady improvements in quantum computers, they're still noisy and error-prone, which leads to questionable or wrong answers. Scientists predict that they won't truly outcompete today's "classical" supercomputers for ...
