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Category: computing

The promise of 5G Internet of Things (IoT) networks requires more scalable and robust communication systems—ones that deliver drastically higher data rates and lower power consumption per device.

Backscatter radios—passive sensors that reflect rather than radiate energy—are known for their low-cost, low-complexity, and battery-free operation, making them a potential key enabler of this future although they typically feature low data rates and their performance strongly depends on the surrounding environment.

Researchers at the Georgia Institute of Technology, Nokia Bell Labs, and Heriot-Watt University have found a low-cost way for backscatter radios to support high-throughput communication and 5G-speed Gb/sec data transfer using only a single transistor when previously it required expensive and multiple stacked transistors.

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Intel has taken its first steps towards directly taking on Arm-based chips through a new partnership with potential acquisition target SiFive. The hook-up will see Intel license SiFive’s chip architecture and fabricate a custom SoC expected in 2022.

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3 mins. This is really fascinating. Several applications, including quantum computing. Need special diamonds that scientists now can produce.

Diamonds are dazzling physicists with their powerful quantum properties. A particular impurity — the nitrogen-vacancy (NV) centre — allows diamonds to be used for everything from geolocation to diagnosing disease. This animation takes a closer look at these NV centres, and the carefully crafted artificial diamonds that make them possible.

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A new electrode that could free up 20% more light from organic light-emitting diodes has been developed at the University of Michigan. It could help extend the battery life of smartphones and laptops, or make next-gen televisions and displays much more energy efficient.

The approach prevents light from being trapped in the light-emitting part of an OLED, enabling OLEDs to maintain brightness while using less power. In addition, the electrode is easy to fit into existing processes for making OLED displays and light fixtures.

“With our approach, you can do it all in the same ,” said L. Jay Guo, U-M professor of electrical and computer engineering and corresponding author of the study.

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In fall of 2019, we demonstrated that the Sycamore quantum processor could outperform the most powerful classical computers when applied to a tailor-made problem. The next challenge is to extend this result to solve practical problems in materials science, chemistry and physics. But going beyond the capabilities of classical computers for these problems is challenging and will require new insights to achieve state-of-the-art accuracy. Generally, the difficulty in performing quantum simulations of such physical problems is rooted in the wave nature of quantum particles, where deviations in the initial setup, interference from the environment, or small errors in the calculations can lead to large deviations in the computational result.

In two upcoming publications, we outline a blueprint for achieving record levels of precision for the task of simulating quantum materials. In the first work, we consider one-dimensional systems, like thin wires, and demonstrate how to accurately compute electronic properties, such as current and conductance. In the second work, we show how to map the Fermi-Hubbard model, which describes interacting electrons, to a quantum processor in order to simulate important physical properties. These works take a significant step towards realizing our long-term goal of simulating more complex systems with practical applications, like batteries and pharmaceuticals.

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Chinese taikonauts’ electronic devices that were brought to Tiangong space station drew Chinese IT fans’ attentions on social media Sina Weibo. Netizens have found out those devices are all produced by Chinese companies.

Netizens have found that the electronic devices brought to China’s Tiangong space station and Shenzhou-12 capsule are all produced by Chinese companies. The topic “daily life of Chinese astronauts” had 240 million views on Sina Weibo by Thursday.

Various devices including a Huawei P30 mobile phone, Lenovo ThinkPad laptop and Xiaomi electronic screwdriver can be seen clearly in the livestream, released on Wednesday.

Mobile phones, tablets are connected to Wi-Fi with a downlink rate of 1.2 gigabits per second, which is equivalent to 5G speeds on the ground.

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MIT researchers demonstrate a way to sharply reduce errors in two-qubit gates, a significant advance toward fully realizing quantum computation.

MIT researchers have made a significant advance on the road toward the full realization of quantum computation, demonstrating a technique that eliminates common errors in the most essential operation of quantum algorithms, the two-qubit operation or “gate.”

“Despite tremendous progress toward being able to perform computations with low error rates with superconducting quantum bits (qubits), errors in two-qubit gates, one of the building blocks of quantum computation, persist,” says Youngkyu Sung, an MIT graduate student in electrical engineering and computer science who is the lead author of a paper on this topic published on June 16, 2021, in Physical Review X. “We have demonstrated a way to sharply reduce those errors.”

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Move over, gene-editing proteins—there’s a smaller, cheaper, more specific genetic engineering tool on the block: DNAzymes—small DNA molecules that can function like protein enzymes.

Researchers at the University of Illinois Urbana-Champaign have developed a technique that, for the first time, allows DNAzymes to target and cut double-stranded DNA, overcoming a significant limitation of the technology. DNAzymes have been used in biosensing, DNA computing and many other applications. However, when it comes to genetic engineering applications such as gene editing or , they have faced a challenge: DNAzymes have only been able to target sites on single-stranded DNA, while the DNA coding for genes in cells is double-stranded. The researchers published their new technique in the Journal of the American Chemical Society.

“DNAzymes have many advantages, including higher stability, smaller size and lower cost than protein enzymes. These advantages perfectly fit the requirement for genetic engineering tools,” said study leader Yi Lu, a professor of chemistry at Illinois. “No DNAzymes could alter double-stranded DNA until this work. By making that happen, we open the door for DNAzymes to enter the entire world of genetic engineering.”

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Scientists develop an energy-efficient strategy to reversibly change ‘spin orientation’ or magnetization direction in magnetite at room temperature.

Over the last few decades, conventional electronics has been rapidly reaching its technical limits in computing and information technology, calling for innovative devices that go beyond the mere manipulation of electron current. In this regard, spintronics, the study of devices that exploit the “spin” of electrons to perform functions, is one of the hottest areas in applied physics. But, measuring, altering, and, in general, working with this fundamental quantum property is no mean feat.

Current spintronic devices — for example, magnetic tunnel junctions — suffer from limitations such as high-power consumption, low operating temperatures, and severe constraints in material selection. To this end, a team of scientists at Tokyo University of Science and the National Institute for Materials Science (NIMS), Japan, has published a study in ACS Nano, in which they present a surprisingly simple yet efficient strategy to manipulate the magnetization angle in magnetite (Fe3O4), a typical ferromagnetic material.

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