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The team achieved 99.99 percent accuracy with a single-qubit gate and 99.9 percent accuracy with a two-qubit gate.

Researchers at the Massachusetts Institute of Technology (MIT) have developed a new circuit that can do quantum computation with a high degree of accuracy. The researchers used a new type of superconducting qubit called the fluxonium, a press release said.

Quantum computers are considered the next frontier of computing since they can perform calculations at speeds that are decades ahead of supercomputers being used today. The flip side of such high speeds is that they can accumulate errors equally fast.

Tesla is reportedly increasing the orders for its Dojo D1 supercomputer chips. The D1 is a custom Tesla application-specific integrated circuit (ASIC) that’s designed for the Dojo supercomputer, and it is reportedly ordered from Taiwan Semiconductor Manufacturing Company (TSMC).

Citing a source reportedly familiar with the matter, Taiwanese publication Economic Daily noted that Tesla will be doubling its Dojo D1 chip to 10,000 units for the coming year. Considering the Dojo supercomputer’s scalability, expectations are high that the volume of D1 chip orders from TSMC will continue to increase until 2025.

Dojo, after all, is expected to be used by Tesla for the training of its driver-assist systems and self-driving AI models. With the rollout of projects like FSD, the dedicated robotaxi, and Optimus, Dojo’s contributions to the company’s operations would likely be more substantial.

Computer performance is measured in FLOPS, or floating-point operations per second. The first supercomputer, which was developed in 1964, could run 3,000,000 FLOPS, i.e., 3 megaFLOPS. Exa means 18 zeros, meaning 1,000,000,000,000,000,000 FLOPS. An exascale computer can perform that many operations — something that is almost impossible to imagine.

Now, there is a huge advantage to commanding that kind of computing power in today’s world. Here is what the same McKinsey report says: “Exascale computing could allow scientists to solve problems that have until now been impossible. With exascale, exponential increases in memory, storage, and compute power may drive breakthroughs in several industries: energy production, storage, transmission, materials science, heavy industry, chemical design, AI and machine learning, cancer research and treatment, earthquake risk assessment, and many more.”

Put simply, China now may have the computing power at its disposal to match, or even overtake, technology leaders like the United States in several areas that could be key to becoming the dominant economic and military power in the world. China could also pair its advances in artificial intelligence with this mind-boggling computering power and achieve technological and military dominance quite quickly.

Here are some more specs: Frontier uses approximately 50,000 processors, compared with the most powerful laptop’s 16 or 24. It consumes 20 million watts, compared with a laptop’s 65 or so. It cost $600 million to build.

When Frontier came online, it marked the dawn of so-called exascale computing, with machines that can execute an exaflop—or a quintillion (10¹⁸) floating point operations a second. Since then, scientists have geared up to make more of these blazingly fast computers: several exascale machines are due to come online in the US and Europe in 2024.

The Association for Computing Machinery has just put out the finalists for the Gordon Bell Prize award that will be given out at the SC23 supercomputing conference in Denver, and as you might expect, some of the biggest iron assembled in the world are driving the advanced applications that have their eyes on the prize.

The ACM warns that the final system sizes and final results of the simulations and models run are not yet completed, but we have a look at one of them because the researchers in China’s National Supercomputing Center in Wuxi actually published a paper they will formally released in November ahead of the SC23 conference. That paper, Towards Exascale Computation for Turbomachinery Flows, was run on the “Oceanlite” supercomputing system, which we first wrote about way back in February 2021, that won a Gorden Bell prize in November 2021 for a quantum simulation across 41.9 million cores, and that we speculated the configuration of back in March 2022 when Alibaba Group, Tsinghua University, DAMO Academy, Zhejiang Lab, and Beijing Academy of Artificial Intelligence ran a pretrained machine learning model called BaGuaLu, across more than 37 million cores and 14.5 trillion parameters in the Oceanlite machine.

NASA tossed down a grand challenge nearly a decade ago to do a time-dependent simulation of a complete jet engine, with aerodynamic and heat transfer simulated, and the Wuxi team, with the help of engineering researchers at a number of universities in China, the United States, m and the United Kingdom have picked up the gauntlet. What we found interesting about the paper is that it confirmed many of our speculations about the Oceanlite machine.

Researchers have confirmed that human brains are naturally wired to perform advanced calculations, similar to e a high-powered computer, to make sense of the world through a process known as Bayesian inference.

In a recent study published in Nature Communications.

<em>Nature Communications</em> is a peer-reviewed, open-access, multidisciplinary, scientific journal published by Nature Portfolio. It covers the natural sciences, including physics, biology, chemistry, medicine, and earth sciences. It began publishing in 2010 and has editorial offices in London, Berlin, New York City, and Shanghai.

According to supercomputer guru, even despite sanctions, China has more supercomputers than the US.

A supercomputer is faster, more expensive, and much bigger than your humble personal computer. They are used by scientists and researchers in tech companies and labs to test theories and models with intensive databases.

Keeping a tab on which is the fastest supercomputer in the world is the Top500 List, which comes out twice every year – in November and June. It is the most coveted and sought-after ranking of the top supercomputers in the world. However, over the years, the rankings have been affected due to sociopolitical factors.

After years of dedicated research and over 5 million supercomputer computing hours, a team has created the world’s first high-resolution 3D radiation hydrodynamics simulations for exotic supernovae. This work is reported in The Astrophysical Journal.

Ke-Jung Chen at Academia Sinica Institute of Astronomy and Astrophysics (ASIAA) in Taiwan, led an international team and used the powerful supercomputers from the Lawrence Berkeley National Laboratory and the National Astronomical Observatory of Japan to make the breakthrough.

Supernova explosions are the most spectacular endings for massive stars, as they conclude their life cycles in a self-destructive manner, instantaneously releasing brightness equivalent to billions of suns, illuminating the entire universe.

Morgan Stanley released a report Monday, predicting a semiconductor-driven hopeful outlook for Musk’s company.

Tesla’s shares were up 9.5 percent yesterday. But what drove them up?

The investment banking firm issued a research note that upgraded the Elon Musk-owned automotive company’s rating from ‘equalweight’ to ‘overweight’ with a price target of $400 from a prior price target of $250. An ‘overweight’ rating means that the analysts, in this case Morgan Stanley (MS), expects Tesla’s stock to outperform its industry in the market.

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