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Archive for the ‘computing’ category: Page 39

Apr 8, 2024

The Magnetic Twist: Hybrid Superconductors Unlock Quantum Computing Potential

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

An international team including researchers from the University of Würzburg has succeeded in creating a special state of superconductivity. This discovery could advance the development of quantum computers.

Superconductors are materials that can conduct electricity without electrical resistance – making them the ideal base material for electronic components in MRI machines, magnetic levitation trains, and even particle accelerators. However, conventional superconductors are easily disturbed by magnetism. An international group of researchers has now succeeded in building a hybrid device consisting of a stable proximitized-superconductor enhanced by magnetism and whose function can be specifically controlled.

They combined the superconductor with a special semiconductor material known as a topological insulator. “Topological insulators are materials that conduct electricity on their surface but not inside. This is due to their unique topological structure, i.e. the special arrangement of the electrons,” explains Professor Charles Gould, a physicist at the Institute for Topological Insulators at the University of Würzburg (JMU). “The exciting thing is that we can equip topological insulators with magnetic atoms so that they can be controlled by a magnet.”

Apr 7, 2024

De novo design of pH-responsive self-assembling helical protein filaments

Posted by in categories: computing, engineering

Engineering the tunability of protein assembly in response to pH changes within a narrow range is challenging. Here the authors report the de novo computational design of pH-responsive protein filaments that exhibit rapid, precise, tunable and reversible assembly and disassembly triggered by small pH changes.

Apr 7, 2024

It Is Time To Take Intel Seriously As A Chip Foundry

Posted by in categories: computing, economics, finance, government, security

The third proof point is both the increase in manufacturing capacity investment and the change in how that investment will be managed. With the interest in governments to secure future semiconductor manufacturing for both supply security and economic growth, Mr. Gelsinger went on a spending spree with investment in expanding capacity in Oregon, Ireland, and Israel, as well as six new fabs in Arizona, Ohio, and Germany. Most of the initial investment was made without the promise of government grants, such as the US Chips Act. However, Intel has now secured more than $50B from US and European government incentives, customer commitments starting with its first five customers on the 18A process node, and its financial partners. Intel has also secured an additional $11B loan from the US government and a 25% investment tax credit.

In addition to it’s own investment in fab capacity, Intel is partnering with Tower Semiconductor and UMC, two foundries with long and successful histories. Tower will be investing in new equipment to be installed in Intel’s New Mexico facility for analog products, and UMC will partner with Intel to leverage three of the older Arizona fabs and process nodes, starting with the 12nm, to support applications like industrial IoT, mobile, communications infrastructure, and networking.

The second side of this investment is how current and future capacity will be used. As strictly an IDM, Intel has historically capitalized on its investments in the physical fab structures by retrofitting the fabs after three process nodes, on average. While this allowed for the reuse of the structures and infrastructure, it eliminated support for older process nodes, which are important for many foundry customers. According to Omdia Research, less than 3% of all semiconductors are produced on the latest process nodes. As a result, Intel is shifting from retrofitting fabs for new process nodes to maintaining fabs to support extended life cycles of older process nodes, as shown in the chart below. This requires additional capacity for newer process nodes.

Apr 7, 2024

2D magnets could pave the way for green computing

Posted by in categories: computing, materials

A team of MIT researchers has addressed significant barriers to the practical application of 2D magnetic materials. This innovation will enable the development of the next generation of energy-efficient computers.

The team achieved a notable breakthrough by developing a “van der Waals atomically layered heterostructure” device. The device connects two 2D materials: tungsten ditelluride and iron gallium telluride, a 2D van der Waals magnet.

Apr 6, 2024

Discovery points path to flash-like memory for storing qubits

Posted by in categories: computing, quantum physics

By Jade Boyd, Rice University

Rice University physicists have discovered a phase-changing quantum material—and a method for finding more like it—that could potentially be used to create flash-like memory capable of storing quantum bits of information, or qubits, even when a quantum computer is powered down.

Apr 6, 2024

“What we did here gives me goosebumps. We have shown that error correction is repeatable, it is working, and it is reliable”: Microsoft and Quantinuum scale new heights in quantum computing and error correction

Posted by in categories: computing, quantum physics

Microsoft is on the verge of a major quantum computing breakthrough in collaboration with Quantinuum. In a recent announcement, the tech giant indicated that it ran more than 14,000 experiments without encountering a single error.

The company attributes this to Quantinuum’s ion-trap hardware alongside its new qubit-virtualization system. It unlocked this impressive feat because the system allows the team to check logical qubits, thus presenting an opportunity to correct any errors without affecting the progress.

The researchers behind the breakthrough spread the quantum information across groups of connected quantum bits to form logic qubits. Per the report, the team used 30 qubits to make four logical qubits. It was through this process that the team was able to run countless experiments without encountering any errors.

Apr 6, 2024

Exploring the Brain: from Synapses to Cognition

Posted by in categories: biotech/medical, computing, media & arts, neuroscience

The human brain is a remarkably complex organ, consisting of billions of interconnected neurons. It can be divided into distinct regions, each with specific functions, such as memory and decision-making. Cognition, which includes processes like perception, memory, language, and problem-solving, is all orchestrated by the brain. It’s through these cognitive processes that we perceive and interact with the world around us.

What is special about the structure of the brain compared to other organs? What is the principled way of understanding how the brain works? How does the brain contribute to our sense of Self? Is it possible to compare the brain with the computer? Is it possible to enhance the way that the brain works? What is the brain-basis of language?

Continue reading “Exploring the Brain: from Synapses to Cognition” »

Apr 6, 2024

Merons Magic: Unlocking the Secrets of Synthetic Antiferromagnets

Posted by in categories: computing, particle physics, sustainability

Our everyday electronic devices, such as living room lights, washing machines, and televisions, operate thanks to electrical currents. Similarly, the functioning of computers is based on the manipulation of information by small charge carriers known as electrons. Spintronics, on the other hand, introduces a unique approach to this process.

Instead of the charge of electrons, the spintronic approach is to exploit their magnetic moment, in other words, their spin, to store and process information – aiming to make the computers of the future more compact, fast, and sustainable. One way of processing information based on this approach is to use the magnetic vortices called skyrmions or, alternatively, their still little understood and rarer cousins called ‘merons’. Both are collective topological structures formed of numerous individual spins. Merons have to date only been observed in natural antiferromagnets, where they are difficult to both analyze and manipulate.

Apr 4, 2024

Making Sense of Handedness on a Lattice

Posted by in categories: computing, particle physics

David Kaplan has developed a lattice model for particles that are left-or right-handed, offering a firmer foundation for the theory of weak interactions.

David Kaplan is on a quest to straighten out chirality, or “handedness,” in particle physics. A theorist at the University of Washington, Seattle, Kaplan has been wrestling with chirality conundrums for over 30 years. The main problem he has been working on is how to place chiral particles, such as left-handed electrons or right-handed antineutrinos, on a discrete space-time, or “lattice.” That may sound like a minor concern, but without a solution to this problem the weak interaction—and by extension the standard model of particle physics—can’t be simulated on a computer beyond low-energy approximations. Attempts to develop a lattice theory for chiral particles have run into model-dooming inconsistencies. There’s even a well-known theorem that says the whole endeavor should be impossible.

Kaplan is unfazed. He has been a pioneer in formulating chirality’s place in particle physics. One of his main contributions has been to show that some of chirality’s problems can be solved in extra dimensions. Kaplan has now taken this extra-dimension strategy further, showing that reducing the boundaries, or edges, around the extra dimensions can help keep left-and right-handed particle states from mixing [1, 2]. With further work, he believes this breakthrough could finally make the lattice “safe” for chiral particles. Physics Magazine spoke to Kaplan about the issues surrounding chirality in particle physics.

Apr 4, 2024

Error-corrected qubits 800 times more reliable after breakthrough, paving the way for ‘next level’ of quantum computing

Posted by in categories: computing, quantum physics

Scientists used a technique called ‘active syndrome extraction’ to build four logical qubits from 30 physical ones and run 14,000 experiments without detecting a single error.

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