Lifeboat Foundation

Recently, a research team at Osaka University has successfully demonstrated the generation of megatesla (MT)-order magnetic fields via three-dimensional particle simulations on laser-matter interaction. The strength of MT magnetic fields is 1–10 billion times stronger than geomagnetism (0.3–0.5 G), and these fields are expected to be observed only in the close vicinity of celestial bodies such as neutron stars or black holes. This result should facilitate an ambitious experiment to achieve MT-order magnetic fields in the laboratory, which is now in progress.

Since the 19th century, scientists have strived to achieve the highest magnetic fields in the laboratory. To date, the highest magnetic field observed in the laboratory is in the kilotesla (kT)-order. In 2020, Masakatsu Murakami at Osaka University proposed a novel scheme called microtube implosions (MTI) to generate ultrahigh magnetic fields on the MT-order. Irradiating a micron-sized hollow cylinder with ultraintense and ultrashort laser pulses generates hot electrons with velocities close to the speed of light. Those hot electrons launch a cylindrically symmetric implosion of the inner wall ions towards the central axis. An applied pre-seeded magnetic field of the kilotesla-order, parallel to the central axis, bends the trajectories of ions and electrons in opposite directions because of the Lorentz force. Near the target axis, those bent trajectories of ions and electrons collectively form a strong spin current that generates MT-order magnetic fields.

In this study, one of the team members, Didar Shokov, has extensively conducted three-dimensional simulations using the supercomputer OCTOPUS at Osaka University’s Cybermedia Center. As a result, a distinct scaling law has been found relating the performance of the generation of the magnetic fields by MTI and such external parameters as applied laser intensity, laser energy, and target size.

Quantum computers have the potential to solve important problems that are beyond reach even for the most powerful supercomputers, but they require an entirely new way of programming and creating algorithms.

Universities and major tech companies are spearheading research on how to develop these new algorithms. In a recent collaboration between University of Helsinki, Aalto University, University of Turku, and IBM Research Europe-Zurich, a team of researchers have developed a new method to speed up calculations on quantum computers. The results are published in the journal PRX Quantum of the American Physical Society.

“Unlike classical computers, which use bits to store ones and zeros, information is stored in the qubits of a quantum processor in the form of a quantum state, or a wavefunction,” says postdoctoral researcher Guillermo García-Pérez from the Department of Physics at the University of Helsinki, first author of the paper.

Recently, Microsoft Azure joined the Top 10 club of the TOP500 super computer rankings by delivering 30.05 Petaflops. It was based on Microsoft’s recently announced Azure NDm A100 80GB v4, available on demand. These Azure NDm A100 v4 instances are powered by NVIDIA GPU acceleration and NVIDIA InfiniBand networking.

Microsoft today highlighted the latest (December 2021) MLPerf 1.1 results in which Azure delivered the #2 performance overall and the #1 performance by a cloud provider.

A roundup of news from SC21: With Frontier still not online, still no official Exascale systems in the Top500.

https://www.youtube.com/watch?v=lYCCjCFOQBc&feature=share

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New ways to measure the top supercomputers’ smarts in the AI field include searching for dark energy, predicting hurricanes, and finding new materials for energy storage.

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Supercomputer recorded a 75,839-fold boost in handling data for machine learning after a breakthrough in memory management.

IBM’s new Quantum Computer breaks the current world record in terms of Qubits and ushers in a new era of quantum supremacy. It’s also IBM’s last chance of potentially undoing its rise and fall among the biggest tech companies in the world that has been occuring these last few years. The Eagle Quantum computer has 127 qubits and can outperform the fastest supercomputers in the world in certain tasks and calculations. Whether or not Google’s Quantum AI company will come back from behind is currently uncertain. But one thing is for sure: The future of Quantum Computers does look very bright.
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TIMESTAMPS:
00:00 IBM’s Last Chance.
01:23 The competetive field of Quantum Computing.
02:19 How this Quantum Computer was made.
04:00 What is Neven’s Law?
06:35 And the goal of all this is…
09:22 Last Words.
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#ibm #quantumcomputer #ai

There are no greater bragging rights in supercomputing than those that come with top ten listing on the bi-annual list of the world’s most powerful systems—the Top 500. And there are no countries more inclined to throw themselves (and billions) into that competition this decade than the U.S. and China.

Today, the latest results were announced (much more on those here) but notably absent, aside from the expected first exascale machine in the U.S., “Frontier” at Oak Ridge National Laboratory in the U.S., are China’s results, which if published, would have shown two separate exascale-class machines.

This would have been a major mainstream news story had China decided to publicize its results–and on several fronts.