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Category: computing – Page 223

“It’s really simple to define this problem,” said Marcin Bieńkowski, an algorithms researcher at the University of Wrocław in Poland. But it “turns out to be bizarrely difficult.” Since researchers began attacking the k-server problem in the late 1980s, they have wondered exactly how well online algorithms can handle the task.

Over the decades, researchers began to believe there’s a certain level of algorithmic performance you can always achieve for the k-server problem. So no matter what version of the problem you’re dealing with, there’ll be an algorithm that reaches this goal. But in a paper first published online last November, three computer scientists showed that this isn’t always achievable. In some cases, every algorithm falls short.

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In 1973, physicist Phil Anderson hypothesized that the quantum spin liquid, or QSL, state existed on some triangular lattices, but he lacked the tools to delve deeper. Fifty years later, a team led by researchers associated with the Quantum Science Center headquartered at the Department of Energy’s Oak Ridge National Laboratory has confirmed the presence of QSL behavior in a new material with this structure, KYbSe2.

QSLs—an unusual state of matter controlled by interactions among entangled, or intrinsically linked, magnetic atoms called spins—excel at stabilizing quantum mechanical activity in KYbSe2 and other delafossites. These materials are prized for their layered triangular lattices and promising properties that could contribute to the construction of high-quality superconductors and quantum computing components.

The paper, published in Nature Physics, features researchers from ORNL; Lawrence Berkeley National Laboratory; Los Alamos National Laboratory; SLAC National Accelerator Laboratory; the University of Tennessee, Knoxville; the University of Missouri; the University of Minnesota; Stanford University; and the Rosario Physics Institute.

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As we learned in middle school science classes, inside this common variety of greens—and most other plants—are intricate circuits of biological machinery that perform the task of converting sunlight into usable energy. Or photosynthesis. These processes keep plants alive. Boston University researchers have a vision for how they could also be harnessed into programmable units that would enable scientists to construct the first practical quantum computer.

A quantum computer would be able to perform calculations much faster than the classical computers that we use today. The laptop sitting on your desk is built on units that can represent 0 or 1, but never both or a combination of those states at the same time. While a classical computer can run only one analysis at a time, a quantum computer could run a billion or more versions of the same equation at the same time, increasing the ability of computers to better model extremely complex systems—like weather patterns or how cancer will spread through tissue—and speeding up how quickly huge datasets can be analyzed.

The idea of using photosynthetic molecules from, say, a spinach leaf to power quantum computing services might sound like science fiction. It’s not. It is “on the fringe of possibilities,” says David Coker, a College of Arts & Sciences professor of chemistry and a College of Engineering professor of materials science and engineering. Coker and collaborators at BU and Princeton University are using computer simulations and experiments to provide proof-of-concepts that photosynthetic circuits could unlock new technological capabilities. Their work is showing promising early results.

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The company’s journey to make its modem has been long and frustrating.

Justin Sullivan/Getty Images.

As per a Bloomberg report, the iPhone maker, which had planned to launch its chip by next year, will likely miss its target of shipping the component by the spring of 2025, people familiar with the matter said. The chip may debut at the end of 2025 or early 2026, the last year of Apple’s extended contract with Qualcomm.

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Scientists from the UK and South Korea have discovered a way to create laser pulses 1,000 times stronger than currently possible. Using computer simulations, they have discovered that a new way of compressing the light can drastically increase its intensity to such an extent that it can extract particles from a vacuum. This new technique could open up doors for important discoveries into the very nature of matter.

Uncover the nature of matter

Researchers from the University of Strathclyde, Ulsan National Institute of Science & Technology (UNIST), and Gwangju Institute of Science and Technology (GIST) have proposed a simple idea to revolutionize the next generation of lasers. They suggest using the gradient in the density of plasma, which is fully ionized matter, to cause photons to bunch together. This is similar to the way a group of cars bunches up as they encounter a steep hill. If this technique is successful, it could increase the power of lasers by more than one million times from what is currently achievable.

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Swooping magnetic fields that confine plasma in doughnut-shaped fusion facilities known as tokamaks could help improve the efficiency of complex machines that produce microchips. This innovation could lead to more powerful computers and smart phones, near-essential devices that make modern society possible.

Engineers use high-energy light emitted by plasma, the electrically charged fourth state of matter, to create small structures on the surfaces of silicon wafers during their transformation into microchips. These tiny components enable a range of devices, including consumer electronics, video games, medical machinery, and telecommunications. Improving the generation of this light could extend the life of vital parts within the machines and make the manufacture of microchips more efficient.

“These findings could change the microchip industry,” said Ben Israeli, lead author of the paper publishing the results in Applied Physics Letters. Israeli is a graduate student in the Princeton Program in Plasma Physics, based at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), which is managed by Princeton University.

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Metamaterials are products of engineering wizardry. They are made from everyday polymers, ceramics, and metals. And when constructed precisely at the microscale, in intricate architectures, these ordinary materials can take on extraordinary properties.

With the help of computer simulations, engineers can play with any combination of microstructures to see how certain materials can transform, for instance, into sound-focusing acoustic lenses or lightweight, bulletproof films.

But simulations can only take a design so far. To know for sure whether a metamaterial will stand up to expectation, physically testing them is a must. But there’s been no reliable way to push and pull on metamaterials at the microscale, and to know how they will respond, without contacting and physically damaging the structures in the process.

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A new method of creating laser pulses, more than 1,000 times as powerful as those currently in existence, has been proposed by scientists in the UK and South Korea.

The scientists have used in joint research to demonstrate a new way of compressing light to increase its intensity sufficiently to extract particles from vacuum and study the nature of matter. To achieve this the three groups have come together to produce a very special type of mirror—one that not only reflects pulses of light but compresses them in time by a factor of more than two hundred times, with further compression possible.

The groups from the University of Strathclyde, UNIST and GIST propose a simple idea—to use the gradient in the density of plasma, which is fully ionized matter, to cause photons to “bunch,” analogous to the way a stretched-out group of cars bunch up as they encounter a steep hill. This could revolutionize the next generation of lasers to enable their powers to increase by more than one million times from what is achievable now.

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Summary: Researchers developed an experimental computing system, resembling a biological brain, that successfully identified handwritten numbers with a 93.4% accuracy rate.

This breakthrough was achieved using a novel training algorithm providing continuous real-time feedback, outperforming traditional batch data processing methods which yielded 91.4% accuracy.

The system’s design features a self-organizing network of nanowires on electrodes, with memory and processing capabilities interwoven, unlike conventional computers with separate modules.

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