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Category: supercomputing – Page 55

Pacific Ocean set to make way for world’s next supercontinent

New Curtin University-led research has found that the world’s next supercontinent, Amasia, will most likely form when the Pacific Ocean closes in 200 to 300 million years.

Published in National Science Review, the research team used a supercomputer to simulate how a forms and found that because the Earth has been cooling for billions of years, the thickness and strength of the plates under the oceans reduce with time, making it difficult for the next supercontinent to assemble by closing the “young” oceans, such as the Atlantic or Indian oceans.

Lead author Dr. Chuan Huang, from Curtin’s Earth Dynamics Research Group and the School of Earth and Planetary Sciences, said the new findings were significant and provided insights into what would happen to Earth in the next 200 million years.

When Supercomputers Meet Beer Pong

My head is currently swirling and whirling with a cacophony of conceptions. This maelstrom of meditations was triggered by NVIDIA’s recent announcement of their Jetson Orin Nano system-on-modules that deliver up to 80x the performance over the prior generation, which is, in their own words, “setting a new standard for entry-level edge AI and robotics.”

One of my contemplations centers on their use of the “entry level” qualifier in this context. When I was coming up, this bodacious beauty would have qualified as the biggest, baddest supercomputer on the planet.

I’m being serious. In 1975, which was the year I entered university, Cray Research announced their Cray-1 Supercomputer. Conceived by Seymore Cray, this was the first computer to successfully implement a vector processing architecture.

BrainComp 2022: Experts in neuroscience and computing discuss the digital transformation of neuroscience and benefits of collaborating

A new field of science has been emerging at the intersection of neuroscience and high-performance computing — this is the takeaway from the 2022 BrainComp conference, which took place in Cetraro, Italy from the 19th to the 22nd of September. The meeting, which featured international experts in brain mapping, machine learning, simulation, research infrastructures, neuro-derived hardware, neuroethics and more, strengthened the current collaborations in this emerging field and forged new ones.

Now in its 5th edition, BrainComp first started in 2013 and is jointly organised by the Human Brain Project and the EBRAINS digital research infrastructure, University of Calabria in Italy, the Heinrich Heine University of Düsseldorf and the Forschungszentrum Jülich in Germany. It is attended by researchers from inside and outside the Human Brain Project. This year was dedicated to the computational challenges of brain connectivity. The brain is the most complex system in the observable universe due to the tight connections between areas down to the wiring of the individual neurons: decoding this complexity through neuroscientific and computing advances benefits both fields.

Hosted by the organising committee of Katrin Amunts, Scientific Research Director of the HBP, Thomas Lippert, Leader of EBRAINS Computing Services from the Juelich Supercomputing Centre and Lucio Grandinetti from the University of Calabria, the sessions included a variety of topics over four days.

A magneto-optic modulator could facilitate the development of next-generation superconductor-based computers

In the future, many computers will most likely be based on electronic circuits made of superconductors. These are materials through which an electrical current can flow without energy losses, could be very promising for the development of high-performance supercomputers and quantum computers.

Researchers at University of California Santa Barbara, Raytheon BBN Technologies, University of Cagliari, Microsoft Research, and the Tokyo Institute of Technology have recently developed a magneto-optic modulator—a device that control the properties of a light beam through a . This device, introduced in a paper published in Nature Electronics, could contribute to the implementation of large-scale electronics and computers based on superconductors.

“We are working on a new technology that can speed up high-performance supercomputers and quantum computers based on superconductor technology,” Paolo Pintus, the researcher who led the study, told TechXplore. “Superconductors work properly only at low temperatures, generally just above absolute zero (−273.15° Celsius). Because of this, circuits made of these materials must be kept inside a dedicated refrigerator.”

Bubbles hold clue to improved industrial structures

Insights into how minute, yet powerful, bubbles form and collapse on underwater surfaces could help make industrial structures such as ship propellers more hardwearing, research suggests.

Supercomputer calculations have revealed details of the growth of so-called nanobubbles, which are tens of thousands of times smaller than a pin head.

The findings could lend valuable insight into damage caused on industrial structures, such as pump components, when these bubbles burst to release tiny but powerful jets of liquid.

PsiQuantum Has A Goal For Its Million Qubit Photonic Quantum Computer To Outperform Every Supercomputer On The Planet

The founders all believed that the traditional method of building a quantum computer of a useful size would take too long. At the company’s inception, the PsiQuantum team established its goal to build a million qubit, fault-tolerant photonic quantum computer. They also believed the only way to create such a machine was to manufacture it in a semiconductor foundry.

Early alerts

PsiQuantum first popped up on my quantum radar about two years ago when it received $150 million in Series C funding which upped total investments in the company to $215 million.

China Launches World’s Fastest Quantum Computers | China’s Advancement In Quantum Computers #techno

China Launches World’s Fastest Quantum Computers | China’s Advancement In Quantum Computers #technology.

“Techno Jungles”

In 2019, Google announced that its 53-qubit Sycamore processor had finished a task in 3.3 minutes that would have taken a conventional supercomputer at least 2.5 days to accomplish. According to reports, China’s 66-Qubit Zuchongzhi 2 Quantum Processor was able to complete the same task 1 million times faster in October of last year. Together with the Shanghai Institute of Technical Physics and the Shanghai Institute of Microsystem and Information Technology, a group of researchers from the Chinese Academy of Sciences Center for Excellence in Quantum Information and Quantum Physics were responsible for the development of that processor.

According to NDTV, the Chinese government under Xi Jinping has spent $10 billion on the country’s National Laboratory for Quantum Information Sciences. This demonstrates China’s significant commitment to the field of quantum computing. According to Live Science, the nation is also a world leader in the field of quantum networking, which involves the transmission of data that has been encoded through the use of quantum mechanics over great distances.

Classical computers cannot compete with the capabilities of quantum computers when it comes to certain tasks due to the peculiar mathematics that governs the quantum world. Quantum computers perform calculations using qubits, which can simultaneously exist in many states, in contrast to classical computers, which perform calculations using bits, which can only have one of two states (typically represented by a 1 or a 0). Because of this, quantum computers solve problems significantly faster than traditional computers. But despite the existence of theories that have been around for decades and predict that quantum computing will outperform classical computing, the construction of practical quantum computers has proven to be a great deal more difficult.

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Most Powerful Supercomputer — SURPASSES The HUMAN BRAIN (64 EXAFLOPS)

The most powerful Exascale Supercomputer is going to release in 2021 and will feature a total of 64 Exaflops. More than 6 times as much, as the Leonardo Supercomputer that’s also set to release this year.
This is accomplished with the help of a new type of processor technology from Tachyum that’s called “Prodigy” and is described as the first Universal Processor.

This new processor is set to enable General Artificial Intelligence at the speed of the human brain in real-time. It’s many times faster than the fastest intel xeon, nvidia graphics card or apple silicon. This new super-computer will enable previously-thought impossible simulations of the brain, medicine and more.
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#supercomputer #ai #exascale

No knowledge, only intuition!

Article originally published on LINKtoLEADERS under the Portuguese title “Sem saber ler nem escrever!”

In the 80s, “with no knowledge, only intuition”, I discovered the world of computing. I believed computers could do everything, as if it were an electronic God. But when I asked the TIMEX Sinclair 1000 to draw the planet Saturn — I am fascinated by this planet, maybe because it has rings —, I only glimpse a strange message on the black and white TV:

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Quantum Matter Is Being Studied At A Temperature 3 Billion Times Colder Than Deep Space

A team of Japanese and US physicists has pushed thousands of Ytterbium atoms to just within a billionth of a degree above absolute zero to understand how matter behaves at these extreme temperatures. The approach treats the atoms as fermions, the type of particles like electrons and protons, that cannot end up in the so-called fifth state of matter at those extreme temperatures: a Bose-Einstein Condensate.

When fermions are actually cooled down, they do exhibit quantum properties in a way that we can’t simulate even with the most powerful supercomputer. These extremely cold atoms are placed in a lattice and they simulate a “Hubbard model” which is used to study the magnetic and superconductive behavior of materials, in particular the collective motion of electrons through them.

The symmetry of these models is known as the special unitary group, or, SU, and depends on the possible spin state. In the case of Ytterbium, that number is 6. Calculating the behavior of just 12 particles in a SU Hubbard model can’t be done with computers. However, as reported in Nature Physics, the team used laser cooling to reduce the temperature of 300,000 atoms to a value almost three billion times colder than the temperature of outer space.

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