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A quasiparticle that forms in semiconductors can now be moved around at room temperature, a University of Michigan-led study has shown. The finding could cool down computers, enabling faster speeds and higher efficiencies, and potentially make LEDs and solar panels more efficient.

Today’s electronic devices rely on electrons to move both energy and information around, but about half of that energy is wasted as heat due to electrical resistance. Excitons, which escape traditional electrical losses, are one potential alternative.

“If you think of the past almost two decades, the computers have always been at two to three gigahertz—they never increase the speed. And that’s the reason. It just gets too hot,” said Parag Deotare, assistant professor of electrical engineering and computer science and corresponding author of the study.

You’re not bad at math. Like pearls before swine, your beautiful brain is just far too complex for such basic things. property= description.

A comprehensive investigation by KAUST researchers sets the record straight on the formation of hydrogen peroxide in micrometer-sized water droplets, or microdroplets, and shows that ozone is the key to this transformation1,2.

The air-water interface is a crucial site for numerous natural, domestic and industrial processes such as ocean-atmosphere exchange, cloud and dew formation, aerated beverages and bioreactors. Yet, probing chemical transformations at the air–water interface is challenging due to the lack of surface-specific techniques or computational models.

Recent research revealed that water spontaneously transforms into 30–110 micromolar hydrogen peroxide (H₂O₂) in microdroplets, obtained by condensing vapor or spraying water using pressurized nitrogen gas. The textbook understanding of water is thus challenged by how the mild temperature and pressure conditions, together with the absence of catalysts, co-solvents and significant applied energy, could break covalent O–H bonds. It was hypothesized that this unusual phenomenon resulted from an ultrahigh electric field at the air-water interface that assists OH radical formation, but no direct evidence has been reported.

ETH physicists have modified one of the major schemes for quantum error correction and put it into practice, demonstrating that they can substantially prolong the lifetime of quantum states—a crucial ingredient for future large-scale quantum computers.

In modern computing devices, literally billions of transistors work restlessly in almost perfect harmony. The keys to producing near-perfect computation from devices made from imperfect components are the use of digitisation and error correction, with the latter encompassing procedures to detect and rectify inaccuracies as they occur. The challenge of preventing errors from accumulating is one that future quantum computers have to face as well—in fact it forms the main barrier to realizing useful computations. Alas, the tools that have been perfected for classical computers cannot be applied directly to quantum computers, which play by another set of rules, those of quantum mechanics. Ingenious solutions for quantum error correction have been proposed over the past couple of decades, and recently there has been encouraging progress towards implementing such methods in state-of-the-art quantum computers. Writing in Nature Physics, the group of Prof.

Its “blockchain accelerator” is set to ship later this year.

Intel is working on a new sustainability-focused chip designed to mine cryptocurrency. One of its first customers include the Jack Dorsey-owned fintech company Block (formerly known as Square).

Similarly, entanglement seems to be fundamental to the existence of space-time. This was the conclusion reached by a pair of postdocs in 2006: Shinsei Ryu (now at the University of Illinois, Urbana-Champaign) and Tadashi Takayanagi (now at Kyoto University), who shared the 2015 New Horizons in Physics prize for this work. “The idea was that the way that [the geometry of] space-time is encoded has a lot to do with how the different parts of this memory chip are entangled with each other,” Van Raamsdonk explained.

Inspired by their work, as well as by a subsequent paper of Maldacena’s, in 2010 Van Raamsdonk proposed a thought experiment to demonstrate the critical role of entanglement in the formation of space-time, pondering what would happen if one cut the memory chip in two and then removed the entanglement between qubits in opposite halves. He found that space-time begins to tear itself apart, in much the same way that stretching a wad of gum by both ends yields a pinched-looking point in the center as the two halves move farther apart. Continuing to split that memory chip into smaller and smaller pieces unravels space-time until only tiny individual fragments remain that have no connection to one another. “If you take away the entanglement, your space-time just falls apart,” said Van Raamsdonk. Similarly, “if you wanted to build up a space-time, you’d want to start entangling [qubits] together in particular ways.”

Combine those insights with Swingle’s work connecting the entangled structure of space-time and the holographic principle to tensor networks, and another crucial piece of the puzzle snaps into place. Curved space-times emerge quite naturally from entanglement in tensor networks via holography. “Space-time is a geometrical representation of this quantum information,” said Van Raamsdonk.

We can’t make transistors any smaller, is this the end of Moore’s Law?

There has been a lot of talk about the end of Moore’s Law for at least a decade now and what kind of implications this will have on modern society. Since the invention of the computer transistor in 1947, the number of transistors packed onto the silicon chips that power the modern world has steadily grown in density, leading to the exponential growth of computing power over the last 70 years. A transistor is a physical object, however, and being purely physical it is governed by laws of physics like every other physical object. That means there is a physical limit to how small a transistor can be. Back when Gordon Moore made his famous prediction about the pace of growth in computing power, no one was really thinking about transistors at nanometer scales. But as we enter the third decade of the 21st century, our reliance on packing more transistors into the same amount of silicon is brushing up against the very boundaries of what is physically possible, leading many to worry that the pace of innovation we’ve become accustomed to might come to a screeching end in the very near future.

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Discussion and demos about synchronizing the asynchronous robustly in computing systems.

The T2 Tile Project:
https://www.youtube.com/channel/UC1M91QuLZfCzHjBMEKvIc-A
https://t2tile.com/

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