Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can.
At the Institute of Scientific and Industrial Research (SANKEN) of Osaka University, scientists have trained a deep neural network to accurately identify the output state of quantum bits, even in the presence of environmental noise.
Using organic DAST crystals pumped with mid-IR pulses, researchers have created an exceptionally strong terahertz field that can directly drive a large change in transmission of a visible probe pulse in quantum dots.
Lasers, devices that emit light in one direction, with photons traveling at one specific frequency and all with the same phase (coherent), govern the way we communicate today.
Quantum dot light-emitting diode, which employs quantum dots as a light-emitting material, has attracted significant attention as a promising alternative for next-generation display technologies, owing to its outstanding electroluminescence properties.
As recently as 2019, spin defects known as qubits were discovered in 2D materials (hexagonal boron nitride), which could amplify the field of ultrathin quantum sensing.
In a new review article in Nature Photonics, scientists from Los Alamos National Laboratory assess the status of research into colloidal quantum dot lasers with a focus on prospective electrically pumped devices, or laser diodes.
Researchers from National Taiwan Normal University and Kyushu University have come up with a new device that requires only a single semiconductor called perovskite to concurrently store and visually transmit data.
'Growing' electronic components directly onto a semiconductor block avoids messy, noisy oxidation scattering that slows and impedes electronic operation.
In a new publication from Opto-Electronic Advances, researchers led by Professor Han Zhang from Shenzhen University, Shenzhen, China, consider whether boron quantum dots surpass the graphene in thermal properties.