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Archive for the ‘supercomputing’ category: Page 7

Feb 12, 2021

New research tackles a central challenge of powerful quantum computing

Posted by in categories: quantum physics, supercomputing

To build a universal quantum computer from fragile quantum components, effective implementation of quantum error correction (QEC) is an essential requirement and a central challenge. QEC is used in quantum computing, which has the potential to solve scientific problems beyond the scope of supercomputers, to protect quantum information from errors due to various noise.

Feb 10, 2021

Advanced simulations reveal how air conditioning spreads COVID-19 aerosols

Posted by in categories: biotech/medical, supercomputing

The detailed physical processes and pathways involved in the transmission of COVID-19 are still not well understood. Researchers decided to use advanced computational fluid dynamics tools on supercomputers to deepen understanding of transmission and provide a quantitative assessment of how different environmental factors influence transmission pathways and airborne infection risk.

Feb 3, 2021

Supercomputer in your bedroom

Posted by in category: supercomputing

University of Sussex academics have established a method of turbocharging desktop PCs to give them the same capability as supercomputers worth tens of millions of pounds.

Feb 3, 2021

Supercomputers advance longer-lasting, faster-charging batteries

Posted by in categories: supercomputing, transportation

In an effort to curb the rise in overall carbon vehicle emissions, the state of California recently announced a plan to ban new sales of gasoline-powered vehicles in less than 15 years—if the current governor’s order holds strong.

Feb 1, 2021

Hyperchaos Phenomenon Used to Model Complex Quantum Systems at a Fraction of the Computing Power

Posted by in categories: quantum physics, supercomputing

Physicists have discovered a potentially game-changing feature of quantum bit behavior that would allow scientists to simulate complex quantum systems without the need for enormous computing power.

For some time, the development of the next generation of quantum computers has limited by the processing speed of conventional CPUs.

Even the world’s fastest supercomputers have not been powerful enough, and existing quantum computers are still too small, to be able to model moderate-sized quantum structures, such as quantum processors.

Continue reading “Hyperchaos Phenomenon Used to Model Complex Quantum Systems at a Fraction of the Computing Power” »

Jan 12, 2021

Chinese quantum computer completes 2.5-billion-year task in minutes

Posted by in categories: quantum physics, supercomputing

Circa 2020 o.o


Researchers in China claim to have achieved quantum supremacy, the point where a quantum computer completes a task that would be virtually impossible for a classical computer to perform. The device, named Jiuzhang, reportedly conducted a calculation in 200 seconds that would take a regular supercomputer a staggering 2.5 billion years to complete.

Traditional computers process data as binary bits – either a zero or a one. Quantum computers, on the other hand, have a distinct advantage in that their bits can also be both a one and a zero at the same time. That raises the potential processing power exponentially, as two quantum bits (qubits) can be in four possible states, three qubits can be in eight states, and so on.

Continue reading “Chinese quantum computer completes 2.5-billion-year task in minutes” »

Jan 8, 2021

Deep Learning at the Speed of Light

Posted by in categories: robotics/AI, supercomputing

Lightmatter bets that optical computing can solve AI’s efficiency problem.

Jan 7, 2021

Supercomputer models describe chloride’s role in corrosion

Posted by in categories: economics, supercomputing

Researchers have been studying chloride’s corrosive effects on various materials for decades. Now thanks to high-performance computers at the San Diego Supercomputer Center (SDSC) at UC San Diego and the Texas Advanced Computing Center (TACC), detailed models have been simulated to provide new insight on how chloride leads to corrosion on structrual metals, resulting in economic and environmental impacts.

Conducted by a team from Oregon State University’s (OSU) College of Engineering, a study discussing this newfound information was published in Materials Degradation, a Nature partner journal.

“Steels are the most widely used structural metals in the world and their corrosion has severe economic, environmental, and ,” said study co-author Burkan Isgor, an OSU civil and construction engineering professor. “Understanding the process of how protective passive films break down helps us custom design effective alloys and corrosion inhibitors that can increase the service life of structures that are exposed to chloride attacks.”

Dec 21, 2020

Celebrating 81 Years of Ingenuity

Posted by in categories: military, robotics/AI, space travel, supercomputing

Eighty-one years ago, our world-class research center in California’s Silicon Valley was born. Ground broke on Ames Research Center on Dec. 20, 1939. It was the second aeronautical laboratory established by the National Advisory Committee for Aeronautics to perform fundamental research on all things flight. From its very beginnings, Ames was a place for innovation. Tests performed in its wind tunnels transformed military aircraft during World War II and paved the way for air travel at supersonic speeds. In the 1950s and ‘60s, its researchers looked to the stars and came up with new designs and materials for spacecraft that would make human spaceflight a reality. Fast-forward to the present, and the center contributes to virtually every major agency mission through its expertise in spacecraft entry systems, robotics, aeronautics, supercomputing, and so much more! Here are things to know about Ames.

The Volatiles Investigating Polar Exploration Rover is the latest lunar exploration mission led by Ames. Launching in 2023, the mobile robot will search for water ice inside craters and other places at the Moon’s South Pole. Its survey will help pave the way for astronaut missions to the lunar surface beginning in 2024 as part of the Artemis program.

Make sure to follow us on Tumblr for your regular dose of space: http://nasa.tumblr.com/.

Dec 17, 2020

Quantum computational advantage using photons

Posted by in categories: particle physics, quantum physics, supercomputing

Quantum computational advantage or supremacy is a long-anticipated milestone toward practical quantum computers. Recent work claimed to have reached this point, but subsequent work managed to speed up the classical simulation and pointed toward a sample size–dependent loophole. Quantum computational advantage, rather than being a one-shot experimental proof, will be the result of a long-term competition between quantum devices and classical simulation. Zhong et al. sent 50 indistinguishable single-mode squeezed states into a 100-mode ultralow-loss interferometer and sampled the output using 100 high-efficiency single-photon detectors. By obtaining up to 76-photon coincidence, yielding a state space dimension of about 1030, they measured a sampling rate that is about 1014-fold faster than using state-of-the-art classical simulation strategies and supercomputers.

Science, this issue p. 1460

Quantum computers promise to perform certain tasks that are believed to be intractable to classical computers. Boson sampling is such a task and is considered a strong candidate to demonstrate the quantum computational advantage. We performed Gaussian boson sampling by sending 50 indistinguishable single-mode squeezed states into a 100-mode ultralow-loss interferometer with full connectivity and random matrix—the whole optical setup is phase-locked—and sampling the output using 100 high-efficiency single-photon detectors. The obtained samples were validated against plausible hypotheses exploiting thermal states, distinguishable photons, and uniform distribution. The photonic quantum computer, Jiuzhang, generates up to 76 output photon clicks, which yields an output state-space dimension of 1030 and a sampling rate that is faster than using the state-of-the-art simulation strategy and supercomputers by a factor of ~1014.

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