Lifeboat Foundation

In the past, traditional methods to understand the behavior of quantum interacting systems have worked well, but there are still many unsolved problems. To solve them, Giuseppe Carleo of ETH Zurich, Switzerland, used machine learning to form a variational approach to the quantum many-body problem.

Before digging deeper, let me tell you a little about the many-body problem. It deals with the difficulty of analyzing “multiple nontrivial relationships encoded in the exponential complexity of the many-body wave function.” In simpler language, it’s the study of interactions between many quantum particles.

If we take a look at our current computing power, modeling a wave function will need lot more powerful supercomputers. But, according to Carleo, the neural networks are pretty good at generalizing. Hence, they need only limited information to infer something. So, fiddling with this idea, Carleo and Matthias Troyer created a simple neural network to reconstruct such multi-body wave function.

In Brief:

Researchers found a new “supercomputer” using nanotechnology. These biocomputers can solve mathematical problems faster, and they are more energy efficient.

Continue reading “Scientists Use Nanotechnology to Create a Super-Fast ‘Biological Computer’” »

NICE.

The Science

Newswise — Quantum computers — a possible future technology that would revolutionize computing by harnessing the bizarre properties of quantum bits, or qubits. Qubits are the quantum analogue to the classical computer bits “0” and “1.” Engineering materials that can function as qubits is technically challenging. Using supercomputers, scientists from the University of Chicago and Argonne National Laboratory predicted possible new qubits built out of strained aluminum nitride. Moreover, the scientists showed that certain newly developed qubits in silicon carbide have unusually long lifetimes.

Continue reading “Supercomputers for Quantum Computers” »

Oh, there will be many things come together for all of us when we begin further expanding and advancing our work on quantum especially in our work with Quantum parallel states, as well as the work on both AI and Synbio on QC. Next 3 to 5 yrs are truly going to change a lot of things in science and technology.

British scientists have taken the first step towards building a real-life version of Deep Thought, the supercomputer programmed to solve the “ultimate question of life, the universe, and everything” in Douglas Adams’s The Hitchhiker’s Guide To The Galaxy. The team has drawn up the first blueprint for a giant quantum computer, a device capable of rapidly solving problems that would take an ordinary computer billions of years to answer.

The ground-breaking modular design could theoretically pave the way to a machine as large as a football field with undreamed of levels of computing power.

Continue reading “Scientists begin building supercomputer programmed to solve ultimate question of life” »

China’s National Supercomputer Centre announced that the prototype for its exascale supercomputer will be completed later this year, ahead of its initial date in 2018. The successful performance and commercialization of the computer is presumed to drastically improve existing 3D printing or additive manufacturing methods.

Over the past few years, the Chinese government and companies in the private sector have been increasingly focused on the development of supercomputers. The Tianhe supercomputer series which feature Tianhe-1 and Tianhe-2, still remains as the most powerful supercomputer series, below the Sunway TaihuLight which was released in mid-2016.

Continue reading “World’s First Exascale Supercomputer to Enhance 3D Printing Capabilities” »

Particle physics is an interesting and complicated field of study. Its theoretical framework, the Standard Model, was developed during the second half of the twentieth century and it opened he possibility to explaining the behavior of the basic blocks of the Universe. It also classified all the particles, from the electron (discovered in 1897) to the Higgs Boson (found in 2012). It is not pretentious to claim that it is one of the most successful theories in Science.

Unfortunately, the Standard Model is also a very difficult theory to handle. By using an analytic approach many problems cannot be solved and computational methods require a huge computational power. Most of the simulations about this theory are performed in supercomputers and they have severe limitations. For instance, the mass of the proton can be calculated by the use of a technique called Lattice Quantum Chromodynamics (lattice QCD), but even using a supercomputer of the Blue Gene type the error was around 2% . This is a huge achievement that shows the utility of the theory, but it is also a signal about the necessity of developing new numerical tools to handle this kind of calculations.

One potential solution to this problem is to use quantum systems in order to perform the simulations. This idea is at the core of the field of quantum computing and it was first proposed by one of the pioneers in the study of particle physics, Richard Feynman . Feynman’s idea is easy to explain. Quantum systems are very difficult to simulate by the use of ordinary classical computers but by using quantum systems we can simulate different quantum systems. If we have a quantum system that we cannot control but we can mimic its dynamics to a friendly quantum system we have solved the problem. We can just manipulate the second system and infer the results to the first one.

Continue reading “Simulating particle physics in a quantum computer” »

If you’ve never heard of an exascale computer before — known unofficially as a super-supercomputer — don’t worry, it doesn’t even exist yet.

But 2017 could be the year that all changes, because China just announced that its world-first exascale supercomputer prototype is due for completion in the coming months. If this thing works as it should, it will be the fastest computer in the world, capable of performing 1 quintillion (a billion billion) calculations per second.

The country’s National Supercomputer Centre announced this week that completion of their prototype is way ahead of schedule, and is expected to be completed in 2017, rather than 2018, as originally predicted.

Continue reading “China Says Its World-First ‘Exascale’ Supercomputer Is Almost Complete” »

Back in June, China debuted the world’s fastest supercomputer, the Sunway TaihuLight (pictured), with a Linpack benchmark result of 93 petaflop/s. That machine contains 40,960 locally developed ShenWei processors, each with 260 cores and roughly comparable with Intel’s Knight’s Landing Xeon Phi CPU. China also developed a 136GB/sec memory controller and custom interconnect that delivers 16GB/sec of peak bandwidth between nodes.

Now China is working on a prototype exascale (1,000-petaflop) system that it aims to complete by the end of this year, according to state media. An exascale computer is capable of a quintillion calculations per second, and could deliver vast dividends in deep learning and big data across a variety of disciplines as varied as nuclear test research, code breaking, and weather forecasting.

“A complete computing system of the exascale supercomputer and its applications can only be expected in 2020, and will be 200 times more powerful than the country’s first petaflop computer Tianhe-1, recognized as the world’s fastest in 2010,” said Zhang Ting, an application engineer at Tianjin’s National Super Computer Center, to Xinhua news agency (via AFP).

Continue reading “China, already dominant in supercomputers, shoots for an exascale prototype in 2017” »

China plans to develop a prototype exascale computer by the end of the year, state media said on Tuesday, as it seeks to win a global race to be the first to build a machine capable of a billion, billion calculations per second.

If successful, the achievement would cement its place as a leading power in the world of supercomputing.

The Asian giant built the world’s fastest supercomputer, the Sunway TaihuLight machine, in June last year, which was twice as fast as the previous number one.