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“We are thinking about volumes in millions.”

“We are thinking about volumes in millions, not the thousands that people talk about with quantum computers based on superconducting,” said Marcus Doherty, chief science officer.

Quantum Brilliance delivered its first system to the Pawsey Supercomputing Centre in Australia earlier this year and is beginning to ship to other commercial customers.

Determining the 3D shapes of biological molecules is one of the hardest problems in modern biology and medical discovery. Companies and research institutions often spend millions of dollars to determine a molecular structure—and even such massive efforts are frequently unsuccessful.

Using clever, new machine learning techniques, Stanford University Ph.D. students Stephan Eismann and Raphael Townshend, under the guidance of Ron Dror, associate professor of computer science, have developed an approach that overcomes this problem by predicting accurate structures computationally.

Most notably, their approach succeeds even when learning from only a few known structures, making it applicable to the types of whose structures are most difficult to determine experimentally.

Devices in the submillimetre range – so-called “nano-supercapacitors” – allow the shrinkage of electronic components to tiny dimensions. However, they are difficult to produce and do not usually incorporate biocompatible materials. Corrosive electrolytes, for example, can quickly discharge themselves in the event of defects and contamination.

So-called “biosupercapacitors” (BSCs) offer a solution. These have two outstanding properties: full biocompatibility, which means they can be used in body fluids such as blood, and compensation for self-discharge behaviours through bio-electrochemical reactions. In other words, they can actually benefit from the body’s own reactions. This is because, in addition to typical charge storage reactions of a supercapacitor, redox enzymatic reactions and living cells naturally present in the blood can increase the performance of a device by 40%.

Shrinking these devices down to submillimetre sizes, while maintaining full biocompatibility, has been enormously challenging. Now, scientists have created a prototype that combines both essential properties.

About 11.1 million Americans are living with long COVID-19, according to new estimates from The American Academy of Physical Medicine and Rehabilitation.

Long COVID-19, or persistent symptoms up to six months after being cleared of the illness, affects around 30 percent of individuals who had COVID-19, according to two recent publications from the Journal of the American Medical Association. Symptoms of long COVID-19 are varied and may include neurological challenges, cognitive problems, shortness of breath, fatigue, pain and mobility issues.

The AAPM&R has developed a dashboard estimating long COVID-19 infections. The model assumes that 30 percent of people who recover from acute COVID-19 develop long COVID-19, but users can adjust estimates based on higher or lower percentages. U.S. case data is pulled from Baltimore-based Johns Hopkins University COVID-19 data. U.S. census data uses2019estimates.

A blockchain-based initiative from the United States Air Force will employ Constellation’s Hypergraph Network to provide data security with the Department of Defense’s commercial partners.

In a Thursday announcement, Constellation said it had been working with Kinnami Software Corporation to develop an end-to-end data security solution using blockchain encryption and distributed data management for the United States Transportation Command, Air Mobility Command’s 618th Air Operations Center, and a Civil Reserve Air Fleet partner. According to the platform, its goal is to securely exchange data with commercial partners on missions involving the operations of aircraft and ships under contract to the Department of Defense, or DoD.

The United States Transportation Command, or USTRANSCOM, allows authorities — including those in the 618th — to coordinate missions using available resources from both the military and private sector. Constellation Network’s solution may have the potential to improve the existing cybersecurity and general effectiveness.

Physics World


An ultra-precise quantum sensor based on trapped beryllium ions is up to 20 times better at detecting weak electric fields than previous atomic devices. By introducing entanglement between the collective motion of the ions and their electronic spin, a collaboration led by the US National Institute of Standards and Technology (NIST) demonstrated that the ion displacement sensitivity in the presence of an electric field was an order of magnitude greater than for classical protocols with trapped ions. With further improvements, the technology could even be used in the search for dark matter.

Quantum sensors can detect and measure signals that are undetectable with their classical counterparts. They are thus a promising tool in many areas of fundamental science, including biological imaging as well as physics. Of the many different systems being pursued as quantum sensors, trapped ions could be particularly favourable due to experimenters’ precise control over their parameters and their ability to introduce entanglement into the system.

The Ion Storage Group at NIST, led by John Bollinger, decided to exploit these properties for measuring very weak electric fields. “We realized our ion crystal can be incredibly sensitive to electric fields,” explains Kevin Gilmore, a former graduate research assistant at NIST and the lead author of a paper describing the research. “We found a protocol that exploits our ability to produce quantum entangled states and is very sensitive to small displacements of the ions driven by weak electric fields. It’s a neat demonstration of how quantum effects can be used to gain an advantage over classical systems.”

In the fictional links he drew between immortal vampires and bats, Dracula creator Bram Stoker may have had one thing right.

“Maybe it’s all in the blood,” says Emma Teeling, a geneticist studying the exceptional longevity of bats in the hope of discovering benefits for humans.

The University College Dublin researcher works with the charity Bretagne Vivante to study bats living in rural churches and schools in Brittany, western France.