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Category: computing – Page 45

Space Forge sees LEO as key to strengthening US chip independence

TAMPA, Fla. — British in-orbit manufacturing venture Space Forge has appointed technology veteran Atul Kumar to set up a semiconductor business in the United States, aiming to bolster domestic chip production as efforts to reduce reliance on foreign suppliers gather pace.

Kumar, a materials scientist with more than two decades of experience in the sector, is tasked with developing manufacturing operations under Space Forge’s U.S. subsidiary to support the terrestrial and in-space growth of semiconductor substrates, the company announced April 10.

The move comes as the U.S. ramps up efforts to reduce its dependence on chips from abroad, driven by supply chain disruptions, national security concerns and mounting trade tensions — particularly with China.

Simulating quantum magnetism with a digital quantum computer

Quantum computers, which process information leveraging quantum mechanical effects, have the potential to outperform classical computers in some optimization and computational tasks. In addition, they could be used to simulate complex quantum systems that cannot be simulated using classical computers.

Researchers at Quantinuum and other institutes in Europe and the United States recently set out to simulate the digitized dynamics of the quantum Ising model, a framework that describes in materials, using an advanced quantum computer.

Their simulations, outlined in a paper on the arXiv preprint server, led to the observation of a transient state known as Floquet prethermalization, in which systems appear locally stable before approaching full equilibrium, in regimes that are inaccessible to classical computers.

Strategic gene placement in bacteria offers insights into evolutionary success

Bioinformaticians from Heinrich Heine University Düsseldorf (HHU) and the university in Linköping (Sweden) have established that the genes in bacterial genomes are arranged in a meaningful order. In the journal Science, they explain that the genes are arranged by function: If they become increasingly important for faster growth, they are located near the origin of DNA replication. Accordingly, their position influences how their activity changes with the growth rate.

Are genes distributed randomly along the , as if scattered from a salt shaker? This opinion, which is held by a majority of researchers, has now been disputed by a team of bioinformaticians led by Professor Dr. Martin Lercher, head of the research group for Computational Cell Biology at HHU.

When bacteria replicate their in preparation for , the process starts at a specific point on the bacterial chromosome and continues along the chromosome in both directions.

Physicists create hottest Schrödinger’s cat ever in quantum technology breakthrough

In a new experiment, physicists have replicated the famous Schrödinger’s cat experiment at hotter temperatures than ever before. The breakthrough is a small but significant step toward quantum computers that can work at normal temperatures.

When Einstein Walked with Gödel

Parul Sehgal of The New York Times stated “In these pieces, plucked from the last 20 years, Holt takes on infinity and the infinitesimal, the illusion of time, the birth of eugenics, the so-called new atheism, smartphones and distraction. It is an elegant history of recent ideas. There are a few historical correctives — he dismantles the notion that Ada Lovelace, the daughter of Lord Byron, was the first computer programmer. But he generally prefers to perch in the middle of a muddle — say, the string theory wars — and hear evidence from both sides without rushing to adjudication. The essays orbit around three chief concerns: How do we conceive of the world (metaphysics), how do we know what we know (epistemology) and how do we conduct ourselves (ethics)”. [ 6 ]

Steven Poole of The Wall Street Journal commented “…this collection of previously published essays by Jim Holt, who is one of the very best modern science writers”. [ 7 ]

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The Most Memorable Overclocking-Friendly CPUs

Enthusiasts have been pushing the limits of silicon for as long as microprocessors have existed. Early overclocking endeavors involved soldering and replacing crystal clock oscillators, but that practice quickly evolved into adjusting system bus speeds using motherboard DIP switches and jumpers.

Internal clock multipliers were eventually introduced, but it didn’t take long for those to be locked down, as unscrupulous sellers began removing official frequency ratings and rebranding chips with their own faster markings. System buses and dividers became the primary tuning tools for most users, while ultra-enthusiasts went further – physically altering electrical specifications through hard modding.

Eventually, unlocked multipliers made a comeback, ushering in an era defined by BIOS-level overclocking and increasingly sophisticated software tuning tools. Over the past decade, however, traditional overclocking has become more constrained. Improved factory binning, aggressive turbo boost algorithms, and thermal ceilings mean that modern CPUs often operate near their peak potential right out of the box.

Proving quantum computers have the edge

Quantum computers promise to outperform today’s traditional computers in many areas of science, including chemistry, physics, and cryptography, but proving they will be superior has been challenging. The most well-known problem in which quantum computers are expected to have the edge, a trait physicists call “quantum advantage,” involves factoring large numbers, a hard math problem that lies at the root of securing digital information.

In 1994, Caltech alumnus Peter Shor (BS ‘81), then at Bell Labs, developed a that would easily factor a large number in just seconds, whereas this type of problem could take a classical computer millions of years. Ultimately, when quantum computers are ready and working—a goal that researchers say may still be a decade or more away—these machines will be able to quickly factor large numbers behind cryptography schemes.

But, besides Shor’s algorithm, researchers have had a hard time coming up with problems where quantum computers will have a proven advantage. Now, reporting in a recent Nature Physics study titled “Local minima in ,” a Caltech-led team of researchers has identified a common physics problem that these futuristic machines would excel at solving. The problem has to do with simulating how materials cool down to their lowest-energy states.

Superconductivity Traverses a Single Molecule Bridge

A single molecule provides a controllable connection between a normal metal and a superconductor.

Researchers have caused a material’s superconductivity to permeate into a nearby normal metal via a single molecule [1]. They showed that this effect could be controlled and say that this control could allow the creation of so-called Majorana quasiparticles, which many research teams are exploring as future quantum bits (qubits) for quantum computers.

The spread of superconductivity into a normal metal in contact with a superconductor has been studied for decades. These experiments are typically done with thin films of the materials. However, the microscopic mechanism underpinning the effect—a normal-to-super-current conversion known as Andreev reflection—can be hard to control, and control is essential for applications of the effect.