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A new form of heterostructure of layered two-dimensional (2D) materials may enable quantum computing to overcome key barriers to its widespread application, according to an international team of researchers.

The researchers were led by a team that is part of the Penn State Center for Nanoscale Science (CNS), one of 19 Materials Research Science and Engineering Centers (MRSEC) in the United States funded by the National Science Foundation. Their work was published Feb. 13 in Nature Materials.

A regular computer consists of billions of transistors, known as bits, and are governed by binary code (“0” = off and “1” = on). A , also known as a qubit, is based on and can be both a “0” and a “1” at the same time. This is known as superposition and can enable quantum computers to be more powerful than the regular, classical computers.

Most existing COVID-19 tests “rely on the same principle, which is that you have accumulated a detectable amount of viral material, for example, in your nose,” says study lead author Frank Zhang, who worked on the project as a Flatiron research fellow at the Flatiron Institute’s Center for Computational Biology (CCB) in New York City. “That poses a challenge when it’s early in the infection time window and you haven’t accumulated a lot of viral material, or you’re asymptomatic.”

The new technique is instead based on how our bodies mount an when invaded by SARS-CoV-2, the virus that causes COVID-19. When the assault starts, specific genes turn on. Segments of those genes produce mRNA molecules that guide the building of proteins. The particular blend of those mRNA molecules changes the types of proteins produced, including proteins involved in virus-fighting functions. The new method can confidently identify when the body is mounting an immune response to the COVID-19 virus by measuring the relative abundance of the various mRNA molecules. The new study is the first to use such an approach to diagnose an infectious disease.

It can boost conductivity by a billion percent.

A collaboration of physicists working at different institutes in the U.S. have discovered a new quantum state in an alloy made of magnesium, silicon, and tellurium, a press release said. The finding could result in applications in quantum computing, such as building sensors and communication systems.

Electrons can move around freely inside the structure.


Vchal/istock.

The alloy is a crystalline structure denoted as Mn3Si2Te6 and consists of octagonal cells placed in a honeycomb-like arrangement when viewed from above. Though, when viewed from the side, it consists of stacked sheets.

Electronic devices generate heat, and that heat must be dissipated. If it isn’t, the high temperatures can compromise device function, or even damage the devices and their surroundings.

Now, a team from UIUC and UC Berkeley have published a paper in Nature Electronics detailing a new cooling method that offers a host of benefits, not the least of which is space efficiency that offers a substantial increase over conventional approaches in devices’ power per unit volume.

Tarek Gebrael, the lead author and a PhD student in mechanical engineering, explains that the existing solutions suffer from three shortcomings. “First, they can be expensive and difficult to scale up,” he says. Heat spreaders made of diamond, for example, are sometimes used at the chip level, but they aren’t cheap.

Recently an international collaboration of astronomers released the most accurate map yet of all the matter in the universe, to help to understand dark matter, and now this is being joined by the largest two-dimensional map of the entire sky, which can help in the study of dark energy. A data release from the Dark Energy Spectroscopic Instrument (DESI) Legacy Imaging Survey shared the results from six years of scanning almost half of the sky, totaling one petabyte of data from three different telescopes.

The reason that such large-scale data is required to study dark energy and dark matter is that these can only be detected due to their effects on ordinary matter — so researchers need to look at many galaxies to track how these otherwise unseen forces are adding mass or affecting the interaction between galaxies. This particular map was created to help scientists identify 40 million target galaxies which will be studied as part of the DESI Spectroscopic Survey.

To make the map as comprehensive as possible, the researchers included data taken in the near-infrared wavelength as well as the visible light wavelength. That is important as the light from distant galaxies appears redshifted, or shifted toward the red end of the spectrum, due to the expansion of the universe. “The addition of near-infrared wavelength data to the Legacy Survey will allow us to better calculate the redshifts of distant galaxies, or the amount of time it took light from those galaxies to reach Earth,” explained one of the researchers, Alfredo Zenteno of NSF’s NOIRLab, in a statement.