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Quantum computers will not be general-purpose machines, though. They will be able to solve some calculations that are completely intractable for current computers and dramatically speed up processing for others. But many of the things they excel at are niche problems, and they will not replace conventional computers for the vast majority of tasks.

That means the ability to benefit from this revolution will be highly uneven, which prompted analysts at McKinsey to investigate who the early winners could be in a new report. They identified the pharmaceutical, chemical, automotive, and financial industries as those with the most promising near-term use cases.

The authors take care to point out that making predictions about quantum computing is hard because many fundamental questions remain unanswered; for instance, the relative importance of the quantity and quality of qubits or whether there can be practical uses for early devices before they achieve fault tolerance.

Over the centuries, we have learned to put information into increasingly durable and useful form, from stone tablets to paper to digital media. Beginning in the 1980s, researchers began theorizing about how to store the information inside a quantum computer, where it is subject to all sorts of atomic-scale errors. By the 1990s they had found a few methods, but these methods fell short of their rivals from classical (regular) computers, which provided an incredible combination of reliability and efficiency.

Now, in a preprint posted on November 5, Pavel Panteleev and Gleb Kalachev of Moscow State University have shown that — at least, in theory — quantum information can be protected from errors just as well as classical information can. They did it by combining two exceptionally compatible classical methods and inventing new techniques to prove their properties.

“It’s a huge achievement by Pavel and Gleb,” said Jens Eberhardt of the University of Wuppertal in Germany.

In a groundbreaking new study, researchers at the University of Minnesota Twin Cities used a customized printer to fully 3D print a flexible organic light-emitting diode (OLED) display. The discovery could result in low-cost OLED displays in the future that could be widely produced using 3D printers by anyone at home, instead of by technicians in expensive microfabrication facilities.

The research is published in Science Advances.

The OLED display technology is based on the conversion of electricity into light using an organic material layer. OLEDs function as high quality , which can be made flexible and used in both large-scale devices such as television screens and monitors as well as handheld electronics such as smartphones. OLED displays have gained popularity because they are lightweight, power-efficient, thin and flexible, and offer a wide viewing angle and high contrast ratio.

Technology is increasingly moving towards miniaturization and energy efficiency. This also applies to electronic chips. Light, and optics more broadly, are functional in making compact and portable chips. Researchers from the Photonic Systems Laboratory, headed by Professor Camille Brès, have successfully applied a novel principle for introducing second-order optical nonlinearity into silicon nitride chips. A first reported in the journal Nature Photonics.

Technology is increasingly moving towards miniaturization and energy efficiency. This also applies to electronic chips. Light, and optics more broadly, are functional in making compact and portable chips. Researchers from the Photonic Systems Laboratory, headed by Professor Camille Brès, have successfully applied a novel principle for introducing second-order optical nonlinearity into silicon nitride chips. A first reported in the journal Nature Photonics.

Different colors of light

“When using a green laser pointer for example, the laser itself is not green because these are particularly difficult to manufacture. So we change the frequency of an existing laser. It emits at a frequency which is half that of green, then we double it by using nonlinearity in a crystal which gives us green. Our study consists of integrating this functionality but on chips that can be manufactured with standard techniques developed for electronics (CMOS). Thanks to this, we will be able to efficiently generate different colors of on a ,” explains Camille Brès. The demonstrated approach had never been implemented before. Current photonic chips compatible with CMOS processes use standard photonic materials, such as silicon, which do not possess second-order nonlinearity and therefore are not inherently capable of transforming light in this way. “This turns out to be a barrier to the advancement of technology,” adds the professor.

The ultimate mobile CPU.


Yesterday Romanian tech review site Lab 501 put up one of the world’s first reviews of Intel’s new mobile Core i9-12900HK (Alder Lake) processor. Packing Intel’s all-new hybrid core microarchitecture, the CPU has managed to beat AMD’s desktop Ryzen Threadripper 1950X in Cinebench R20.

The Core i9-12900HK will be Intel’s new flagship mobile part for the 12th Generation Core series. With specs including six P-cores and eight E-cores, 24MB of L3 cache, and a maximum frequency of 5 GHz, it’s a serious upgrade from Intel’s 11th Generation mobile parts on paper.

Elon Musk’s Neuralink technology will see its first human implant this year. If you’re excited to see how Musk’s brain chip will work on humans, we might find out very soon.

The brain-interface tech company was founded by Elon Musk in 2016 and its chip will finally be implanted into a human brain this year. In 2021, the implant was seen in action in a monkey who played MindPong. The monkey was able to play the game by simply thinking it, with help from Neuralink chip.

Elon Musk, Neuralink Demonstration, Brain Chip, Fitbit In Skull, Elon Musk News, Technology News, AI Symbiosis Artificial Intelligence, Brain-Machine Interface Elon Musk, Neuralink Demonstration.

During long portions of the past 2.4 billion years, the Earth may have been more inhospitable to life than scientists previously thought, according to new computer simulations.

Using a state-of-the-art climate model, researchers now believe the level of ultraviolet (UV) radiation reaching the Earth’s surface could have been underestimated, with UV levels being up to ten times higher.

UV radiation is emitted by the sun and can damage and destroy biologically important molecules such as proteins.