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Synchrotron radiation sources: Toolboxes for quantum technologies

Synchrotron radiation sources generate highly brilliant light pulses, ranging from infrared to hard X-rays, which can be used to gain deep insights into complex materials.

An international team has published an overview of synchrotron methods for the further development of quantum materials and technologies in the journal Advanced Functional Materials.

Using concrete examples, they show how these unique tools can help to unlock the potential of quantum technologies such as quantum computing, overcome production barriers and pave the way for future breakthroughs.

Glassed-in DNA makes the ultimate time capsule

Year 2015 face_with_colon_three


IF YOU must preserve messages for people in the far future to read, Blu-ray discs and USB sticks are no good. For real long-term storage, you want a DNA time capsule.

Just 1 gram of DNA is theoretically capable of holding 455 exabytes – enough for all the data held by Google, Facebook and every other major tech company, with room to spare. It’s also incredibly durable: DNA has been extracted and sequenced from 700,000-year-old horse bones. But conditions have to be right for it to last.

Controlling quantum states in germanene using only an electric field

Researchers at the University of Twente and Utrecht University demonstrated for the first time that quantum states in the ultra-narrow material germanene can be switched on and off using only an electric field. The researchers were able to vary the electric field strength very precisely, causing the special ‘topological’ states in nanoribbons to disappear or appear.

The research, titled “Electric-Field Control of Zero-Dimensional Topological States in Ultranarrow Germanene Nanoribbons,” is published in Physical Review Letters.

Quantum computers will not use zeros and ones, but instead use quantum bits that can assume both states simultaneously. In theory, this makes them superfast and powerful, but in practice, building quantum bits is an enormous challenge: they are very sensitive to noise and quickly lose their information.

Calibrating qubit charge to make quantum computers even more reliable

Quantum computers will be able to assume highly complex tasks in the future. With superconducting quantum processors, however, it has thus far been difficult to read out experimental results because measurements can cause interfering quantum state transitions.

Researchers at Karlsruhe Institute of Technology (KIT) and Université de Sherbrooke in Québec have performed experiments that improve our understanding of these processes and have shown that calibrating the charge at the qubits contributes to fault avoidance.

Their findings have been published in Physical Review Letters.

New digital state of matter could help build stable quantum computers

Scientists have taken another major step toward creating stable quantum computers. Using a specialized quantum computer chip (an essential component of a quantum computer) as a kind of tiny laboratory, a team led by Pan Jianwei at the University of Science and Technology of China has created and studied a rare and complex type of matter called higher-order nonequilibrium topological phases.

This digital matter (not conventional physical material) is unique because its key behaviors are super-stable and located only at its corners. But this stability is only maintained when the material is constantly bombarded with energy pulses.

The work is a big deal because it shows that quantum computers can be used as reliable simulators to discover and test new stable forms of matter. This will be necessary if scientists are to create quantum computers that never break down (or are at least highly reliable), because super-stable corner behaviors are the kind of error-proof properties needed to build trustworthy quantum hardware.

Natural language found more complex than it strictly needs to be—and for good reason

Human languages are complex phenomena. Around 7,000 languages are spoken worldwide, some with only a handful of remaining speakers, while others, such as Chinese, English, Spanish and Hindi, are spoken by billions. Despite their profound differences, they all share a common function: they convey information by combining individual words into phrases—groups of related words—which are then assembled into sentences. Each of these units has its own meaning, which in combination ultimately form a comprehensible whole.

“This is actually a very complex structure. Since the natural world tends toward maximizing efficiency and conserving resources, it’s perfectly reasonable to ask why the brain encodes linguistic information in such an apparently complicated way instead of digitally, like a computer,” explains Michael Hahn.

Hahn, Professor of Computational Linguistics at Saarland University, has been examining this question together with his colleague Richard Futrell from the University of California, Irvine. The paper is published in the journal Nature Human Behaviour.

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