Oxford quantum physicist Nikita Gourianov tore into the quantum computing industry this week, comparing the “fanfare” around the tech to a financial bubble in a searing commentary piece for the Financial Times.
In other words, he wrote, it’s far more hype than substance.
It’s a scathing, but also perhaps insightful, analysis of a burgeoning field that, at the very least, still has a lot to prove.
A multinational group of scientists has made progress in the use of antiferromagnetic materials in memory storage devices.
Antiferromagnets are materials with an internal magnetic field induced by electron spin but virtually no external magnetic field. Since there is no external (or “long-range”) magnetic field, the data units, or bits, may be packed more densely inside the material, making them potentially useful for data storage.
The ferromagnets commonly utilized in typical magnetic memory devices are the opposite. These devices do have long-range magnetic fields produced by the bits that prevent them from being packed too tightly together since otherwise they would interact.
At Hot Chips, CEO Pat Gelsinger said Intel has everything it needs to put a trillion transistors in a package by 2030.
face_with_colon_three femtosecond logic gate on computer.
Rochester and Erlangen team uses lasers to control real and virtual charge.
You need to wait till 2023 to get them though.
Lenovo has unveiled its T1 Glasses at its Tech Life 2022 event and promises to place a full HD video-watching experience right inside your pockets, a company press release.
Mobile computing devices have exploded in the past few years as gaming has become more intense, and various video streaming platforms have gathered steam. The computing power of smartphones and tablets has increased manifold. Whether you want to ambush other people in an online shooting game or sit back and watch a documentary in high-definition, a device in your pocket can help you do that with ease.
However, what is missing is the large screen experience; with the T1 Glasses, Lenovo wants to deliver just that.
Researchers from North Carolina State University used computational analysis to predict how optical properties of semiconductor material zinc selenide (ZnSe) change when doped with halogen elements, and found the predictions were confirmed by experimental results. Their method could speed the process of identifying and creating materials useful in quantum applications.
Creating semiconductors with desirable properties means taking advantage of point defects—sites within a material where an atom may be missing, or where there are impurities. By manipulating these sites in the material, often by adding different elements (a process referred to as “doping”), designers can elicit different properties.
“Defects are unavoidable, even in ‘pure’ materials,” says Doug Irving, University Faculty Scholar and professor of materials science and engineering at NC State. “We want to interface with those spaces via doping to change certain properties of a material. But figuring out which elements to use in doping is time and labor intensive. If we could use a computer model to predict these outcomes it would allow material engineers to focus on elements with the best potential.”
The aircraft is one of Northrop Grumman’s best models.
The Northrop Grumman E-2 Hawkeye is an American all-weather, carrier-capable tactical airborne early warning aircraft. Its latest and most advanced version is the E-2D Advanced Hawkeye.
which features the AN/APY-9 radar (capable of detecting fighter-sized stealth aircraft), radio suite, mission computer, integrated satellite communications, flight management system, improved T56-A-427A engines, a glass cockpit and aerial refueling.
Posted in computing, particle physics
To smash atoms with unimaginable power.
Cern’s Large Hadron Collider (LHC) is back online after a three-year technical shutdown period. The expert scientists at the famous research facility ran the powerful accelerator at the end of April, and Run 3 physics started in early July. The entire process ran at the highest energy level ever achieved in an accelerator.
The LHC experiments are expected to collect so much data on nature at its smallest levels that it is measured in petabytes.
(LHC) is the world’s largest and most powerful particle accelerator. It consists of a 27-kilometre ring of superconducting magnets with a number of accelerating structures to boost the energy of the particles along the way.
Researchers have discovered a new method for correcting errors in the calculations of quantum computers, potentially clearing a major obstacle to a powerful new realm of computing.
In conventional computers, fixing errors is a well-developed field. Every cellphone requires checks and fixes to send and receive data over messy airwaves. Quantum computers offer enormous potential to solve certain complex problems that are impossible for conventional computers, but this power depends on harnessing extremely fleeting behaviors of subatomic particles. These computing behaviors are so ephemeral that even looking in on them to check for errors can cause the whole system to collapse.
In a paper outlining a new theory for error correction, published Aug. 9 in Nature Communications, an interdisciplinary team led by Jeff Thompson, an associate professor of electrical and computer engineering at Princeton, and collaborators Yue Wu and Shruti Puri at Yale University and Shimon Kolkowitz at the University of Wisconsin-Madison, showed that they could dramatically improve a quantum computer’s tolerance for faults, and reduce the amount of redundant information needed to isolate and fix errors. The new technique increases the acceptable error rate four-fold, from 1% to 4%, which is practical for quantum computers currently in development.
