Quantum technologies have the potential to spur revolutions in computing, sensing, cryptography and beyond. With a $4 million grant from the National Science Foundation, a team of researchers from Brown University and Dartmouth College will work to better understand the materials and the exotic quantum states that make these technologies possible. 

“We’re trying to understand these quantum materials and complex quantum states on a fundamental level that enables us to control and manipulate them in useful ways,” said Vesna Mitrović, a professor of physics at Brown and principal investigator on the grant. “This new understanding will help us to identify which of these materials or states is useful for which applications, which in turn will help us to move quantum technology forward.” {module In-article}

Quantum technologies make use of the often peculiar rules that govern the behavior of individual particles. In the quantum world, particles can behave as if they are in more than one state at a given time, and influence each other's behavior even if they are far away in space. By taking advantage of those properties, quantum computers can process information in new ways, potentially performing calculations far beyond the reach of even the fastest of today's supercomputers. Quantum sensors far more powerful than those used today could be useful in applications ranging from medicine to seismology. And quantum cryptography could lead to intrinsically secure communication.

For all the promise, however, there are obstacles to overcome before these quantum technologies deliver their full potential. One problem is that quantum states are extremely fragile -- the slightest disturbance can destroy them. And scientists still don't fully understand how to model the complex correlations between particles in quantum systems. Those microscopic correlations are critically important, because they ultimately determine the properties of a material at the macroscopic scale.

Under this grant, the Brown-Dartmouth team will use a novel approach in which today's small quantum computers are combined with large-scale classical computing resources to study quantum materials and complex quantum states in microscopic detail. Experimental studies of existing materials will be combined with machine learning and artificial intelligence tools to inform the design of new materials, whose properties depend on correlated quantum states that are not so fragile.

"The ability to measure these correlations gives us the ability to better understand and control these quantum states," Mitrović said. "That could enable the design of new technologies including error-tolerant quantum computers, for example."

Mitrović is an expert in using a technique known as nuclear magnetic resonance to probe quantum states of materials. For the grant, she'll work with fellow Brown theorists and professors Dima Feldman and Brad Marston. The Dartmouth team is led by experimentalist Chandrasekhar Ramanathan and theorist James Whitfield. The team also includes experts in computer science and quantum physics.

"By leveraging their complementary expertise -- quantum materials at Brown and quantum information science at Dartmouth -- the grant will enable the creation of a New England center of excellence at the nexus of quantum and data sciences, both areas of national priority for science and technology development," Ramanathan said. "This collaboration will allow us to tackle some of the hard problems that stand in the way of deploying quantum technologies."

The combination of quantum information science and data science developed by this research could have broad impacts that benefit society, the researchers believe. And Mitrović said she's excited to work with this group of colleagues on this project.

"If you asked me to assemble the dream team of researchers to approach this problem, this would be the exact group I'd put together," she said. "It's exciting because I think we can make genuine progress on this."

Observational data from radiosondes deployed in Antarctica improve the forecasting accuracy for severe Antarctic cyclones, according to a Japanese research team led by the Kitami Institute of Technology, Hokkaido, Japan.

In parts of the Earth that are very sparsely populated, such as the Antarctic, direct observational weather data can be hard to come by, and with Antarctica's extreme climate, failure to accurately predict severe weather can easily become deadly. The team conducted a study that focused on the impacts of these data on forecasting an extreme cyclonic event, and the findings have been accepted and published as early view in Advances in Atmospheric Sciences.

With advancements in satellite technology and supercomputers, the modeling and forecasting of storms is constantly improving. However, accurate forecasts are not based on satellite data alone - they still rely on direct measurements taken at the surface and in the atmosphere. Direct measurements of the atmosphere can be obtained by deploying weather balloons equipped with radiosondes, devices that collect and transmit information about variables such as altitude, temperature, humidity, and wind speed. {module In-article}

The research team looked at the importance of weather radiosonde data in predicting severe weather events over Antarctica and the surrounding Southern Ocean. "We investigated the impact of including additional radiosonde observations from both the research vessel Shirase over the Southern Ocean and from the Dome Fuji Station in Antarctica on forecasting using an atmospheric general circulation model," explains lead author Kazutoshi Sato, an assistant professor at the Kitami Institute of Technology, Japan.

The researchers conducted a forecast experiment that focused on an unusually strong Antarctic cyclonic event that occurred from late December 2017 to early January 2018. Two datasets, one that included the additional radiosonde data and one that excluded those data, were used as the initial values. Only the experiment that included the radiosonde observations successfully captured the cyclone's central pressure, wind speed, and moisture transport 2.5 days in advance. These results clearly show that even with operational weather forecast centers, collecting radiosonde observation data is important to improve the forecasting accuracy for Antarctic cyclones.

However, the sparsity of observations in the Antarctic remains a problem. "Even with the assimilation of the additional radiosonde observations," says co-author Jun Inoue, an associate professor of polar science at the National Institute of Polar Research, part of the Inter-University Research Institute Corporation Research Organization of Information and Systems (ROIS) in Tokyo, Japan, "the experiment was unable to forecast the development of the cyclone four days in advance. That leaves a great deal of room for improvement." In a project called the 'Year of Polar Projection', many Antarctic stations have deployed additional radiosondes to provide an opportunity to further investigate the impact of the resulting data on weather forecasting in Antarctica.

To provide more accurate weather forecasts, Inoue noted that new additional observation systems need to be developed in the future. Improving severe weather forecasting in Antarctica will continue to be a priority, as the lives of researchers and other personnel in the region may depend on it.