GAIA is a scanning transmission electron microscope with a built-in system to cool samples to ultra-low temperatures with liquid helium. Credit: Cameron Johnson When it comes to imaging materials, the colder the sample is, the better. At room temperature, atoms hum with thermal energy and appear blurry in images, but at ultra-cold temperatures, near absolute
Amazon and Best Buy have the TCL QM7L mini-LED TV on sale for as low as $797.99 for the 55-inch model, a $200 discount from the usual price. We spotted scaling discounts on larger sizes as well, although Amazon already listed low stock on the 65-inch version. While OLED televisions are great for deep black
Quantum computers, such as this one shown at this year’s Mobile World Congress in Barcelona, Spain, could run programs that have been almost completely generated by artificial-intelligence tools. Credit: Angel Garcia/Bloomberg/Getty ‘Vibe coding’ is moving into quantum computing — a field in which programming has notoriously required sophisticated skills. To lower this barrier, researchers at
Experimental setup A detailed description of our experimental setup has been given in previous works35,60,61. In short, we trap individual 88Sr atoms in a programmable one-dimensional array of optical tweezers (813 nm) generated by acousto-optic deflectors (AODs). The atoms are initialized in the 5s2 1S0 state and cooled on the narrow-line red transition 5s2 1S0 ↔ 5s5p 3P1
Watch out crypto-bros—it might be time to start moving assets. Researchers are making progress toward quantum computers powerful enough to undermine the mathematical assumptions that currently protect cryptocurrency and other blockchain-based assets. Because of this, the industry needs to replace its cryptographic infrastructure before the quantum computers arrive. “The great quantum migration is going to
Saito, Y., Nojima, T. & Iwasa, Y. Highly crystalline 2D superconductors. Nat. Rev. Mater. 2, 16094 (2017). Article CAS Google Scholar Liu, X. & Hersam, M. C. 2D materials for quantum information science. Nat. Rev. Mater. 4, 669–684 (2019). Article Google Scholar Wang, J. I. J. et al. Hexagonal boron nitride as a low-loss dielectric
