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Archive for the ‘computing’ category: Page 364

Apr 28, 2021

3D printing increases memory of flexible Silicon chips 7000 times

Posted by in categories: computing, materials

The U. S. Air Force Research Laboratory (AFRL) and American Semiconductor have combined traditional manufacturing techniques with 3D printed circuitry to produce a flexible Silicon-on-polymer chip.

Besides its material qualities, the new chip has a memory more than 7000 times larger than any comparable commercially available devices, making it suitable as a micro-controller to be integrated into other objects.

Apr 28, 2021

More Compact and Efficient Vertical Turbines Could Be the Future for Wind Farms

Posted by in categories: computing, engineering, mathematics, sustainability

The now-familiar sight of traditional propeller wind turbines could be replaced in the future with wind farms containing more compact and efficient vertical turbines.

New research from Oxford Brookes University has found that the vertical turbine design is far more efficient than traditional turbines in large-scale wind farms, and when set in pairs the vertical turbines increase each other’s performance by up to 15%.

A research team from the School of Engineering, Computing and Mathematics (ECM) at Oxford Brookes led by Professor Iakovos Tzanakis conducted an in-depth study using more than 11500 hours of computer simulation to show that wind farms can perform more efficiently by substituting the traditional propeller-type Horizontal Axis Wind Turbines (HAWTs), for compact Vertical Axis Wind Turbines (VAWTs).

Apr 27, 2021

Nvidia Entangled in Quantum Simulators

Posted by in categories: computing, information science, quantum physics

Quantum simulators are a strange breed of systems for purposes that might seem a bit nebulous from the outset. These are often HPC clusters with fast interconnects and powerful server processors (although not usually equipped with accelerators) that run a literal simulation of how various quantum circuits function for design and testing of quantum hardware and algorithms. Quantum simulators do more than just test. They can also be used to emulate quantum problem solving and serve as a novel approach to tackling problems without all the quantum hardware complexity.

Despite the various uses, there’s only so much commercial demand for quantum simulators. Companies like IBM have their own internally and for others, Atos/Bull have created these based on their big memory Sequanna systems but these are, as one might imagine, niche machines for special purposes. Nonetheless, Nvidia sees enough opportunity in this arena to make an announcement at their GTC event about the performance of quantum simulators using the DGX A100 and its own custom-cooked quantum development software stack, called CuQuantum.

After all, it is probably important for Nvidia to have some kind of stake in quantum before (and if) it ever really takes off, especially in large-scale and scientific computing. What better way to get an insider view than to work with quantum hardware and software developers who are designing better codes and qubits via a benchmark and testing environment?

Apr 27, 2021

Google performed the first quantum simulation of a chemical reaction

Posted by in categories: chemistry, computing, particle physics, quantum physics

Circa 2020 o.,.o!


By Leah Crane.

Google researchers have used a quantum computer to simulate a chemical reaction for the first time. The reaction is a simple one, but this marks a step towards finding a practical use for quantum computers.

Continue reading “Google performed the first quantum simulation of a chemical reaction” »

Apr 27, 2021

Decoding Quantum Errors Using Subspace Expansions

Posted by in categories: computing, quantum physics

O,.o circa 2020.


With the rapid developments in quantum hardware comes a push towards the first practical applications on these devices. While fully fault-tolerant quantum computers may still be years away, one may ask if there exist intermediate forms of error correction or mitigation that might enable practical applications before then. In this work, we consider the idea of post-processing error decoders using existing quantum codes, which are capable of mitigating errors on encoded logical qubits using classical post-processing with no complicated syndrome measurements or additional qubits beyond those used for the logical qubits. This greatly simplifies the experimental exploration of quantum codes on near-term devices, removing the need for locality of syndromes or fast feed-forward, allowing one to study performance aspects of codes on real devices. We provide a general construction equipped with a simple stochastic sampling scheme that does not depend explicitly on a number of terms that we extend to approximate projectors within a subspace. This theory then allows one to generalize to the correction of some logical errors in the code space, correction of some physical unencoded Hamiltonians without engineered symmetries, and corrections derived from approximate symmetries. In this work, we develop the theory of the method and demonstrate it on a simple example with the perfect [[5, 1, 3]] code, which exhibits a pseudo-threshold of p≈0.50 under a single qubit depolarizing channel applied to all qubits. We also provide a demonstration under the application of a logical operation and performance on an unencoded hydrogen molecule, which exhibits a significant improvement over the entire range of possible errors incurred under a depolarizing channel.

Apr 27, 2021

Intel’s Mexico unit sees ‘light at end of tunnel’ in chip shortages

Posted by in categories: computing, transportation

MEXICO CITY (Reuters) — A global semiconductor chip shortage, which has hurt Mexico’s auto industry, could improve but still not be fully resolved by the end of the year, said the head of Intel Corp’s Mexico unit, Santiago Cardona.

Intel in late March said it will greatly expand its advanced chip manufacturing capacity with plans to spend as much as $20 billion to build two factories in Arizona and open its factories to outside customers.

Apr 27, 2021

New groundbreaking implant designed to correct presbyopia

Posted by in categories: biotech/medical, computing

A team from the Universitat Politècnica de València (UPV), the Universitat de València (UV) and the Aiken Ophthalmic Clinic (through its Research Foundation) have designed and assessed in their laboratories a new groundbreaking implant, the only one in its kind, to correct presbyopia. As a result of the work of five years of research, they have created the first trifocal corneal inlay that is also fully transparent. Such an inlay would allow good eyesight to presbyopic people of objects located at several distances: far, intermediate (computer, mobile devices) and near. Their work has been published in Nature group’s Scientific Reports journal.

This inlay could be an alternative for those suffering from presbyopia who would rather not use glasses or contact lenses. Furthermore, it would be fully compatible with laser refractive surgery in myopic and hyperopic patients, as well as possible subsequent cataract interventions. We are suggesting something totally new that is also not incompatible with any other ocular therapy.

Apr 26, 2021

AMD earnings: Are data center owners ‘digesting’ or just not buying Intel chips?

Posted by in category: computing

Advanced Micro Devices Inc. earnings will serve as an indication if the data-center market is truly in a “digestion” phase, as Intel Corp. reported.

AMD AMD, +3.20% is scheduled to report its first-quarter earnings on Tuesday after the close of markets. When Intel INTC,-0.81% reported results last week, the market-share leader noted that the market was just bottoming from a “digestion phase” as its data-center sales dropped 20% year-over-year.

Apr 25, 2021

Little Swirling Mysteries: Dynamics of Ultrasmall, Ultrafast Groups of Atoms Uncovered

Posted by in categories: computing, particle physics

Exploring and manipulating the behavior of polar vortices in material may lead to new technology for faster data transfer and storage. Researchers used the Advanced Photon Source at Argonne and the Linac Coherent Light Source at SLAC to learn more.

Our high-speed, high-bandwidth world constantly requires new ways to process and store information. Semiconductors and magnetic materials have made up the bulk of data storage devices for decades. In recent years, however, researchers and engineers have turned to ferroelectric materials, a type of crystal that can be manipulated with electricity.

In 2016, the study of ferroelectrics got more interesting with the discovery of polar vortices — essentially spiral-shaped groupings of atoms — within the structure of the material. Now a team of researchers led by the U.S. Department of Energy’s (DOE) Argonne National Laboratory has uncovered new insights into the behavior of these vortices, insights that may be the first step toward using them for fast, versatile data processing and storage.

Apr 25, 2021

A breakthrough astrophysics code rapidly models stellar collisions

Posted by in categories: computing, physics

A breakthrough astrophysics code, named Octo-Tiger, simulates the evolution of self-gravitating and rotating systems of arbitrary geometry using adaptive mesh refinement and a new method to parallelize the code to achieve superior speeds.

This new code to model stellar collisions is more expeditious than the established code used for . The research came from a unique collaboration between experimental computer scientists and astrophysicists in the Louisiana State University Department of Physics & Astronomy, the LSU Center for Computation & Technology, Indiana University Kokomo and Macquarie University, Australia, culminating in over of a year of benchmark testing and scientific simulations, supported by multiple NSF grants, including one specifically designed to break the barrier between computer science and astrophysics.

“Thanks to a significant effort across this collaboration, we now have a reliable computational framework to simulate stellar mergers,” said Patrick Motl, professor of physics at Indiana University Kokomo. “By substantially reducing the to complete a simulation, we can begin to ask new questions that could not be addressed when a single-merger simulation was precious and very time consuming. We can explore more parameter space, examine a simulation at very high spatial resolution or for longer times after a merger, and we can extend the simulations to include more complete physical models by incorporating radiative transfer, for example.”