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The exotic particles are called non-Abelian anyons, or nonabelions for short, and their Borromean rings exist only as information inside the quantum computer. But their linking properties could help to make quantum computers less error-prone, or more ‘fault-tolerant’ — a key step to making them outperform even the best conventional computers. The results, revealed in a preprint on 9 May1, were obtained on a machine at Quantinuum, a quantum-computing company in Broomfield, Colorado, that formed as the result of a merger between the quantum computing unit of Honeywell and a start-up firm based in Cambridge, UK.

“This is the credible path to fault-tolerant quantum computing,” says Tony Uttley, Quantinuum’s president and chief operating officer.

Other researchers are less optimistic about the virtual nonabelions’ potential to revolutionize quantum computing, but creating them is seen as an achievement in itself. “There is enormous mathematical beauty in this type of physical system, and it’s incredible to see them realized for the first time, after a long time,” says Steven Simon, a theoretical physicist at the University of Oxford, UK.

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An unusual quasicrystal has been discovered by a team from the Martin Luther University Halle-Wittenberg (MLU), the University of Sheffield and Xi’an Jiaotong University. It has a dodecagonal honeycomb structure that has never been seen before. Until now, similar quasicrystals were only known to come in a solid—not liquid—form. The team presents its results in the journal Nature Chemistry.

Quasicrystals have a special structure. They have a regular pattern similar to normal crystals, however, in normal crystals, the arrangement of the individual components is repeated over and over at . In the case of quasicrystals, the components do not fit together in such a periodic pattern. This special structure gives them special properties that normal crystals do not have.

The newly discovered consists of dodecagons, which in turn are made up of a mixture of triangular, square and, for the first time, trapezoidal shaped cells. These are generated from the self-assembly of “T-shaped” molecules. “We have discovered a perfectly ordered liquid quasicrystal. Such a material has never been seen before,” says chemist Professor Carsten Tschierske at MLU.

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Scientists at a UK-based tech company believe they are now a step closer to building a quantum computer that can solve real-world problems, after making progress towards creating a system that protects against errors.

Experts at Quantinuum said they have made a “breakthrough” towards making quantum computing fault tolerant, which would give the system the ability to continue operating without interruption, even if one or more of its components fail.

The race to build a fully functional quantum computer has mostly focused on correcting errors that affect the system, but Ilyas Khan, the company’s founder and chief product officer, said no-one has shown “an actual demonstration of a step towards qubits, the quantum equivalent of what we refer to as a ‘bit’ in existing computers, that are naturally fault tolerant”.

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This article contains paid promotion for Sandvik.

THIS real-life statue was made with artificial intelligence.

Dubbed the “Impossible Statue”, this project was made by combining the works of five different historical artists using AI. At 150cm tall, weighing 500 kg carved from stainless steel, the sculpture showcases just how far technology has come and its ability to transform the future of how we build our world.

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The researchers suggest that a pervasive design perspective is driving the development of AI with increasingly human-like features. While this may be appealing in some contexts, it can also be problematic, particularly when it is unclear who you are communicating with. Ivarsson questions whether AI should have such human-like voices, as they create a sense of intimacy and lead people to form impressions based on the voice alone.

In the case of the would-be fraudster calling the “older man,” the scam is only exposed after a long time, which Lindwall and Ivarsson attribute to the believability of the human voice and the assumption that the confused behavior is due to age. Once an AI has a voice, we infer attributes such as gender, age, and socio-economic background, making it harder to identify that we are interacting with a computer.

The researchers propose creating AI with well-functioning and eloquent voices that are still clearly synthetic, increasing transparency.

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