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Category: computing – Page 455

Researchers at the University of New South Wales and a startup company, Silicon Quantum Computing, published results of their quantum dot experiments. The circuits use up to 10 carbon-based quantum dots on a silicon substrate. Metal gates control the flow of electrons. The paper appears in Nature and you can download the full paper from there.

What’s new about this is that the dots are precisely arranged to simulate an organic compound, polyacetylene. This allowed researchers to model the actual molecule. Simulating molecules is important in the study of exotic matter phases, such as superconductivity. The interaction of particles inside, for example, a crystalline structure is difficult to simulate using conventional methods. By building a model using quantum techniques on the same scale and with the same topology as the molecule in question, simulation is simplified.

The SSH (Su-Schreffer-Heeger) model describes a single electron moving along a one-dimensional lattice with staggered tunnel couplings. At least, that’s what the paper says and we have to believe it. Creating such a model for simple systems has been feasible, but for a “many body” problem, conventional computing just isn’t up to the task. Currently, the 10 dot model is right at the limit of what a conventional computer can simulate reasonably. The team plans to build a 20 dot circuit that would allow for unique simulations not feasible with classic computing tech.

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Transistors are the building blocks of modern electronics, used in everything from televisions to laptops. As transistors have gotten smaller and more compact, so have electronics, which is why your cell phone is a super powerful computer that fits in the palm of your hand.

But there’s a scaling problem: Transistors are now so small that they are difficult to turn off. A key device element is the channel that charge carriers (such as electrons) travel across between electrodes. If that channel gets too short, allow electrons to effectively jump from one side to another even when they shouldn’t.

One way to get past this sizing roadblock is to use layers of 2D materials—which are only a single atom thick—as the channel. Atomically thin channels can help enable even smaller transistors by making it harder for the electrons to jump between electrodes. One well-known example of a 2D material is graphene, whose discoverers won the Nobel Prize in Physics in 2010. But there are other 2D materials, and many believe they are the future of transistors, with the promise of scaling channel thickness down from its current 3D limit of a few nanometers (nm, billionths of a meter) to less than a single nanometer thickness.

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Omuterema AkhahendaAdmin.

I remember when my friends worked at a Motorola Chip fabrication plant in San Antonio. They had the facilities, as well as skilled labor. However, cheaper labor led many to invest abroad. I even changed my major from computer science, as I heard of thi… See more.

Anne KristoffersenWell — Orbital semiconductor fabrication should be pursued, there are so many benefits to making chips in a naturally micro-gravity, hard-vacuum environment.

Notably, you aren’t using any water, and your silicon wafers can be arbitrarily large.… See more.

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Next big thing Haifei Zhan and colleagues reckon that carbon nanothreads have a future in energy storage. (Courtesy: Queensland University of Technology) Computational and theoretical studies of diamond-like carbon nanothreads suggest that…

Computational and theoretical studies of diamond-like carbon nanothreads suggest that they could provide an alternative to batteries by storing energy in a strained mechanical system. The team behind the research says that nanothread devices could power electronics and help with the shift towards renewable sources of energy.

The traditional go-to device for energy storage is the electrochemical battery, which predates even the widespread use of electricity. Despite centuries of technological progress and near ubiquitous use, batteries remain prone to the same inefficiencies and hazards as any device based on chemical reactions – sluggish reactions in the cold, the danger of explosion in the heat and the risk of toxic chemical leakages.

Another way of storing energy is to strain a material that then releases energy as it returns to its unstrained state. The strain could be linear like stretching and then launching a rubber band from your finger; or twisted, like a wind-up clock or toy. More than a decade ago, theoretical work done by researchers at the Massachusetts Institute of Technology suggested that strained chords made from carbon nanotubes could achieve impressive energy-storage densities, on account of the material’s unique mechanical properties.

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Two research groups demonstrate quantum algorithms using neutral atoms as qubits. Tim Wogan reports.

The first quantum processors that use neutral atoms as qubits have been produced independently by two US-based groups. The result offers the possibility of building quantum computers that could be easier to scale up than current devices.

Two technologies have dominated quantum computing so far, but they are not without issues. Superconducting qubits must be constructed individually, making it nearly impossible to fabricate identical copies, so the probability of the output being correct is reduced – causing what is known as “gate fidelity”. Moreover, each qubit must be cooled close to absolute zero. Trapped ions, on the other hand, have the advantage that each ion is guaranteed to be indistinguishable by the laws of quantum mechanics. But while ions in a vacuum are relatively easy to isolate from thermal noise, they are strongly interacting and so require electric fields to move them around.

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Tight squeeze The Xanadu X8 quantum photonic processor used in the study. (Courtesy: Xanadu) Computers are made of chips, and in the future, some of those chips might use light as their main ingredient. Scientists from the Ontario, Canada-based…

Giant bacteria, Ca. Thiomargarita magnifica, have been found in Guadeloupe. They have organelles, DNA and measure one centimeter long.

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Researchers at ETH Zurich have developed a lightweight, wearable textile exomuscle that uses sensors embedded in its fabric to detect a user’s movement intentions and chip in extra force as needed. Initial tests show a significant boost in endurance.

Where powered exoskeletons act as both muscle and bone, providing force as well as structural support, exomuscles make use of the body’s own structure and simply chip in with additional force. As a result, they’re much lighter and less bulky, but they’re also limited in how much force they can deliver, since human bones and joints can only take so much.

This “Myoshirt” from ETH Zurich is designed as a vest, with cuffs for the upper arm and forearm. Sensors in the fabric feed data on muscle control impulses to a control box, which processes the information in real time and decides when to actuate the artificial muscles – which are short Dyneema cables aligned parallel with the wearer’s own muscles. By shortening the cables as the muscles contract, the Myoshirt is able to contribute power to your movements in a subtle, discreet, intuitive and tuneable way.

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Summary: New software can perform computerized image editing using only input from electrical activity in the human brain.

Source: University of Copenhagen.

Soon, we won’t need to use the Help function. The computer will sense that we have a problem and come to the rescue by itself. This is one of the possible implications of new research at University of Copenhagen and University of Helsinki.

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IBM is building accessible, scalable quantum computing by focusing on three pillars:

**· **Increasing qubit counts.

**· **Developing advanced quantum software that can abstract away infrastructure complexity and orchestrate quantum programs.

**· **Growing an ecosystem of quantum-ready enterprises, organizations, and communities.

The next step in IBM’s goals to build a frictionless development experience will be the release of Qiskit Runtime in 2022, which will allow developers to build workflows in the cloud, offering greater flexibility. Bringing a serverless approach to quantum computing will also provide the flexibility to distribute workloads intelligently and efficiently across quantum and classical systems.

To help speed the work of developers, IBM launched Qiskit Runtime primitives earlier this year. The primitives implement common quantum hardware queries used by algorithms to simplify quantum programming. In 2023, IBM plans to expand these primitives, as well as the capability to run on the next generation of parallelized quantum processors.

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