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Category: quantum physics – Page 336

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At a crucial time when the development and deployment of AI are rapidly evolving, experts are looking at ways we can use quantum computing to protect AI from its vulnerabilities.

Machine learning is a field of artificial intelligence where computer models become experts in various tasks by consuming large amounts of data, instead of a human explicitly programming their level of expertise. These algorithms do not need to be taught but rather learn from seeing examples, similar to how a child learns.

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Quantum computing is on the verge of catapulting the digital revolution to new heights.

Turbocharged processing holds the promise of instantaneously diagnosing health ailments and providing rapid development of new medicines; greatly speeding up response time in AI systems for such time-sensitive operations as autonomous driving and space travel; optimizing traffic control in congested cities; helping aircraft better navigate extreme turbulence; speeding up weather forecasting that better prepares localities facing potential disaster, and optimizing supply chain systems for more efficient delivery times and cost savings.

But we’re not there yet. One of the greatest obstacles facing quantum operations is error-correction.

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A new study exemplifies how the strides made in quantum computing are now being harnessed to unlock the secrets of fundamental science.

Scientists at Duke University have harnessed the power of quantum-based methods to unravel a puzzling phenomenon related to light-absorbing molecules, according to a new study published in Nature Chemistry.

This advancement sheds light on the enigmatic world of quantum interactions, potentially transforming our understanding of essential chemical processes like photosynthesis, vision, and photocatalysis.

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A team of researchers has successfully simulated and” observed” a slow-motion chemical reaction at a billion times slower than “normal.”

For the first time ever, scientists have succeeded in slowing down (in simulation) a chemical reaction by around 100 billion times. Using a quantum computer, the researchers simulated and then “observed” the reaction in super slow motion.

Skynesher/iStock.

Super slow motion.

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The field of quantum physics is rife with paths leading to tantalizing new areas of study, but one rabbit hole offers a unique vantage point into a world where particles behave differently—through the proverbial looking glass.

Dubbed the “Alice ring” after Lewis Carroll’s world-renowned stories on Alice’s Adventures in Wonderland, the appearance of this object verifies a decades-old theory on how monopoles decay. Specifically, that they decay into a ring-like vortex, where any other monopoles passing through the center are flipped into their opposite magnetic charges.

Published in Nature Communications on August 29, these findings mark the latest discovery in a string of work that has spanned the collaborative careers of Aalto University Professor Mikko Möttönen and Amherst College Professor David Hall.

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Quantum technologies—and quantum computers in particular—have the potential to shape the development of technology in the future. Scientists believe that quantum computers will help them solve problems that even the fastest supercomputers are unable to handle yet. Large international IT companies and countries like the United States and China have been making significant investments in the development of this technology. But because quantum computers are based on different laws of physics than conventional computers, laptops, and smartphones, they are more susceptible to malfunction.

An interdisciplinary research team led by Professor Jens Eisert, a physicist at Freie Universität Berlin, has now found ways of testing the quality of quantum computers. Their study on the subject was recently published in the scientific journal Nature Communications. These scientific quality control tests incorporate methods from physics, computer science, and mathematics.

Quantum physicist at Freie Universität Berlin and author of the study, Professor Jens Eisert, explains the science behind the research. “Quantum computers work on the basis of quantum mechanical laws of physics, in which or ions are used as computational units—or to put it another way—controlled, minuscule physical systems. What is extraordinary about these computers of the future is that at this level, nature functions extremely and radically differently from our everyday experience of the world and how we know and perceive it.”

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Researchers at Duke University have implemented a quantum-based method to observe a quantum effect in the way light-absorbing molecules interact with incoming photons. Known as a conical intersection, the effect puts limitations on the paths molecules can take to change between different configurations.

The observation method makes use of a quantum simulator, developed from research in , and addresses a long-standing, fundamental question in chemistry critical to processes such as photosynthesis, vision and photocatalysis. It is also an example of how advances in quantum computing are being used to investigate fundamental science.

The results appear online August 28 in the journal Nature Chemistry.

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Nature is the ultimate quantum computer.

A team of researchers is designing novel systems to capture water vapor in the air and turn it into liquid.

University of Waterloo professor Michael Tam and his Ph.D. students Yi Wang and Weinan Zhao have developed sponges or membranes with a large surface area that continually capture moisture from their surrounding environment. In the journal Nature Water Tam and his team discuss several promising new water collection and purification technologies.

Traditionally, for consumption is collected from rivers, lakes, groundwater, and oceans (with treatment). The current technologies Dr. Tam is developing are inspired by nature to harvest water from alternative sources as the world is facing a serious challenge with freshwater scarcity.

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