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Archive for the ‘computing’ category: Page 555

May 24, 2019

Study investigates how spin-orbit interaction protects Majorana nanowires

Posted by in categories: computing, nanotechnology, quantum physics

Researchers at Delft University of Technology have recently carried out a study investigating spin-orbit interaction in Majorana nanowires. Their study, published in Physical Review Letters, is the first to clearly show the mechanism that enables the creation of the elusive Majorana particle, which could become the building block of a more stable type of quantum computer.

“Our research is aimed at experimental verification of the theoretically proposed Majorana zero-mode,” Jouri Bommer, one of the researchers who carried out the study, told Phys.org via email. “This particle, which is its own antiparticle, is of particular interest, because it is predicted to be useful for developing a topological computer.”

Quantum computing is a promising area of computer science that explores the use of quantum-mechanical phenomena and quantum states to store information and solve computational problems. In the future, quantum computers could tackle problems that traditional computing methods are unable to solve, for instance enabling the computational and deterministic design of new drugs and molecules.

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May 24, 2019

Scientists discover signalling circuit boards inside body’s cells

Posted by in category: computing

Cells in the body are wired like computer chips to direct signals that instruct how they function, research suggests.

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May 24, 2019

Quantum computing boost from vapour stabilising technique

Posted by in categories: biotech/medical, computing, nanotechnology, quantum physics

A technique to stabilise alkali metal vapour density using gold nanoparticles, so electrons can be accessed for applications including quantum computing, atom cooling and precision measurements, has been patented by scientists at the University of Bath.

Alkali metal vapours, including lithium, sodium, potassium, rubidium and caesium, allow scientists to access individual electrons, due to the presence of a single electron in the outer ‘shell’ of .

This has for a range of applications, including logic operations, storage and sensing in , as well as in ultra-precise time measurements with atomic clocks, or in medical diagnostics including cardiograms and encephalograms.

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May 23, 2019

Production of more than 250,000 chips embedded within fibers in less than a year

Posted by in categories: biotech/medical, computing

In the summer of 2018, a team led by MIT researchers reported in the journal Nature that they had successfully embedded electronic devices into fibers that could be used in fabrics or composite products like clothing, airplane wings, or even wound dressings. The advance could allow fabrics or composites to sense their environment, communicate, store and convert energy, and more.

Research breakthroughs typically take years to make it into final products—if they reach that point at all. This particular research, however, is following a dramatically different path.

By the time the unique fiber advance was unveiled last summer, members of Advanced Functional Fabrics of America (AFFOA), a not-for-profit near MIT, had already developed ways to increase the throughput and overall reliability of the process. And, staff at Inman Mills in South Carolina had established a method to weave the advanced using a conventional, industrial manufacturing-scale loom to create fabrics that can use light to both broadcast and receive information.

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May 23, 2019

The geometry of an electron determined for the first time

Posted by in categories: computing, particle physics, quantum physics

Physicists at the University of Basel have shown for the first time how a single electron looks in an artificial atom. A newly developed method enables them to show the probability of an electron being present in a space. This allows improved control of electron spins, which could serve as the smallest information unit in a future quantum computer. The experiments were published in Physical Review Letters and the related theory in Physical Review B.

The spin of an electron is a promising candidate for use as the smallest information unit (qubit) of a computer. Controlling and switching this spin or coupling it with other spins is a challenge on which numerous research groups worldwide are working. The stability of a single spin and the entanglement of various spins depends, among other things, on the geometry of the —which previously had been impossible to determine experimentally.

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May 22, 2019

Meet Chip

Posted by in categories: biotech/medical, computing

NIH-funded investigators are developing liver-on-a-chip devices to study liver function and disease modeling in order to accelerate testing and approval of new drugs.

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May 22, 2019

Future Growth: Organs-on-chips Market New Revenue Sources, Latest Trends and 2025

Posted by in categories: biotech/medical, business, computing

Global Organs-on-chips Market Size, Status and Forecast 2019–2025

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According to this study, the next Y-o-Y (year over year) Organs-on-chips market will register a XX% CAGR in terms of revenue, the Astonishing Growth market size will reach US$ XX million by 2025, from US$ XX million in 2019. In particular, this report presents the global market share (sales and revenue) of key companies in the Market New Research Study.

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May 22, 2019

Learning magnets could lead to energy-efficient data processing

Posted by in categories: computing, physics

The power consumption of data centers around the world is increasing. This creates a high demand for new technologies that could lead to energy-efficient computers. In a new study, physicists at Radboud University have demonstrated that this could also be achieved by using chips whose operation is inspired by that of the human brain. The study was published in the scientific journal Applied Physics Letters on 16 May.

Compared to our current computers, the human brain uses a fraction of the energy to process the same amount of data. This is possible due to the fact that our brains can process data in parallel and store it as well by making connections stronger or weaker.

“We wanted to see if we could implement this property of plasticity in an artificial system and combine it with the rapid and energy-efficient technique to control magnetism using light, which has been applied for some time already,” say Johan Mentink and Theo Rasing, both physicists at Radboud University. “This should eventually lead to energy-efficient and smart computers.”

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May 21, 2019

Atom Power Is Launching the Era of Digital Circuit Breakers

Posted by in categories: computing, mobile phones, particle physics

In the dark, dank depths of your home basement hangs a drab gray box that guards the building’s electrical circuits. The circuit breakers inside switch off current flow when there is risk of an overload or short circuit, keeping you safe from fires or electrocution. It’s a critical job, and one that breakers have been doing with a fairly simple, 140-year-old electromechanical technology.

But circuit breakers are about to get a digital overhaul. New semiconductor breakers that combine computing power and wireless connectivity could become the hub of smart, energy-efficient buildings of the future.

“It’s like going from a telephone that just makes calls to a smartphone with capabilities we’d never imagined before,” says Ryan Kennedy, CEO and co-founder of Atom Power in Charlotte, North Carolina. “This is a platform that changes everything in power systems.”

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May 21, 2019

Is Liquid Silicon the Next Generation of Computer Hardware?

Posted by in categories: computing, transportation

The idea of “liquid silicon” conjures images from a Terminator film. Fittingly, it is a nascent ’80s computing concept brought to life with modern fabrication techniques, with the potential to alter the course of the future for computer hardware.

“Liquid Si,” with its delicate layers of mono-crystalline silicon and stacked transistors, have real-world implications in the post-Moore semiconductor landscape.

Building unified computer hardware that incorporates system memory, I/O logic, and disk storage into the same module represents a long-standing goal for microchip architects, and attainment is closer now than ever. Using a process called monolithic 3D integration, modern fabrication machines can execute chip designs with silicon and semiconductor circuitry layered on the bottom, solid-state memory arrays on top, and a dense metal-to-metal bus sandwiched in between.

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