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Category: supercomputing – Page 4

Humanity’s quest for answers has a new ally: Google’s Willow chip — a quantum chip that outpaces the fastest supercomputers by septillions of years! Imagine solving problems regular computers take years for—like creating life-saving medicines, predicting weather, or designing tech we haven’t dreamed of yet. But with great power comes challenges: high costs, logistics, and even risks to cybersecurity. The quantum revolution has begun, but the big question is—how will we use this power? Palki Sharma tells you.

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Vantage is a ground-breaking news, opinions, and current affairs show from Firstpost. Catering to a global audience, Vantage covers the biggest news stories from a 360-degree perspective, giving viewers a chance to assess the impact of world events through a uniquely Indian lens.

Continue reading “10 Septillion Years vs 5 Minutes: Google’s “Mindboggling” New Chip | Vantage with Palki Sharma” | >

Google has unveiled a quantum computing chip, “Willow,” capable of performing tasks in minutes that would take supercomputers 10 septillion years. This breakthrough in error correction marks a significant step towards practical quantum computing, with potential applications in drug discovery, fusion energy, and climate change solutions.

Google on Monday showed off a new quantum computing chip that it said was a major breakthrough that could bring practical quantum computing closer to reality.

A custom chip called “Willow” does in minutes what it would take leading supercomputers 10 septillion years to complete, according to Google Quantum AI founder Hartmut Neven.

“Written out, there is a 1 with 25 zeros,” Neven said of the time span while briefing journalists. “A mind-boggling number.”

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Science and Technology: Google said its quantum computer, based on a computer chip called Willow, needed less than five minutes to perform a mathematical calculation that one of the world’s most powerful supercomputers could not complete in 10 septillion years, a length of time that exceeds the age of the known universe.

Electronic skins (e-skins) are flexible sensing materials designed to mimic the human skin’s ability to pick up tactile information when touching objects and surfaces. Highly performing e-skins could be used to enhance the capabilities of robots, to create new haptic interfaces and to develop more advanced prosthetics.

In recent years, researchers and engineers have been trying to develop e-skins with individual tactile units (i.e., taxels) that can accurately sense both normal (i.e., perpendicular) and shear (i.e., lateral) forces. While some of these attempts were successful, most existing multi-axis sensors are based on intricate designs or require complex fabrication and calibration processes, which limits their widespread deployment.

Researchers at CNRS-University of Montpellier have introduced a new soft e-skin that leverages magnetic fields to independently detect forces on three axes. This e-skin, described in a paper published in Nature Machine Intelligence, has a simple design that could be easy to reproduce on a large scale.

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Recent studies using advanced supercomputing have focused on the dynamics within copper-based superconductors, aiming to develop materials that are efficient at higher temperatures and could improve electronic devices significantly.

Over the past 35 years, scientists have been studying a remarkable class of materials known as superconductors. When cooled to specific temperatures, these materials allow electricity to flow without any resistance.

A research team utilizing the Summit supercomputer has been delving into the behavior of these superconductors, particularly focusing on how negatively charged particles interact with the smallest units of light within the material. This interaction triggers sudden and dramatic changes in the material’s properties and holds the key to understanding how certain copper-based superconductors function.

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The universe just got a whole lot bigger—or at least in the world of computer simulations, that is. In early November, researchers at the Department of Energy’s Argonne National Laboratory used the fastest supercomputer on the planet to run the largest astrophysical simulation of the universe ever conducted.

The achievement was made using the Frontier supercomputer at Oak Ridge National Laboratory. The calculations set a new benchmark for cosmological hydrodynamics simulations and provide a new foundation for simulating the physics of atomic matter and dark matter simultaneously. The simulation size corresponds to surveys undertaken by large telescope observatories, a feat that until now has not been possible at this scale.

“There are two components in the universe: —which as far as we know, only interacts gravitationally—and conventional matter, or atomic matter,” said project lead Salman Habib, division director for Computational Sciences at Argonne.

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Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood proteins. The studies discovered that favorable nanoparticle-protein interactions can be predicted from machine learning models that are trained from atom-scale molecular dynamics simulations. The new methodology opens ways to simulate the efficacy of gold nanoparticles as targeted drug delivery systems in precision nanomedicine.

Hybrid nanostructures between biomolecules and inorganic nanomaterials constitute a largely unexplored field of research, with the potential for novel applications in bioimaging, biosensing, and nanomedicine. Developing such applications relies critically on understanding the dynamical properties of the nano–bio interface.

Modeling the properties of the nano-bio interface is demanding since the important processes such as electronic charge transfer, or restructuring of the biomolecule surface can take place in a wide range of length and time scales, and the atomistic simulations need to be run in the appropriate aqueous environment.

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