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Archive for the ‘computing’ category: Page 560

May 5, 2019

Quantum sensor for photons

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

A photodetector converts light into an electrical signal, causing the light to be lost. Researchers led by Tracy Northup at the University of Innsbruck have now built a quantum sensor that can measure light particles non-destructively. It can be used to further investigate the quantum properties of light.

Physicist Tracy Northup is currently researching the development of quantum internet at the University of Innsbruck. The American citizen builds interfaces with which can be transferred from matter to and vice versa. Over such interfaces, it is anticipated that quantum computers all over the world will be able to communicate with each other via fiber optic lines in the future. In their research, Northup and her team at the Department of Experimental Physics have now demonstrated a method with which visible light can be measured non-destructively. The development follows the work of Serge Haroche, who characterized the quantum properties of microwave fields with the help of neutral atoms in the 1990s and was awarded the Nobel Prize in Physics in 2012.

In work led by postdoc Moonjoo Lee and Ph.D. student Konstantin Friebe, the researchers place an ionized calcium atom between two hollow mirrors through which visible laser light is guided. “The ion has only a weak influence on the light,” explains Tracy Northup. “Quantum measurements of the ion allow us to make statistical predictions about the number of light particles in the chamber.” The physicists were supported in their interpretation of the measurement results by the research group led by Helmut Ritsch, a Innsbruck quantum optician from the Department of Theoretical Physics. “One can speak in this context of a for light particles”, sums up Northup, who has held an Ingeborg Hochmair professorship at the University of Innsbruck since 2017. One application of the new method would be to generate special tailored light fields by feeding the measurement results back into the system via a feedback loop, thus establishing the desired states.

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May 4, 2019

Brain-Inspired Computing Could Lead to Better Neuroscience Models

Posted by in categories: biological, computing, neuroscience

Building a Silicon Brain Computer chips based on biological neurons may help simulate larger and more-complex brain models.

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May 4, 2019

The Otso Incident with Donovia in 2030

Posted by in categories: computing, finance, geopolitics, treaties

“If we don’t study the mistakes of the future, we’re doomed to repeat them the first time :(” — Ken M, comedian.

[Editor’s Note: Today’s blog post is an excerpt from Mr. Robert J. Hranek’s short story entitled “Angry Engineer,” submitted to the 2019 Mad Scientist Science Fiction Writing Contest. The underlying premise of this contest was that, following months of strained relations and covert hostility with its neighbor Otso, Donovia launched offensive combat operations against Otso on 17 March 2030. Donovia is a wealthy nation that is a near-peer strategic competitor of the United States. The U.S. is a close ally of Otso and is compelled to intervene due to treaty obligations and historical ties. Among the many future innovations addressed in his short story, Mr. Hranek includes a “pre-mortem” in the form of two dozen lessons learned, identifying potential “mistakes of the future” regarding the Battle for Otso, so that we’re not “doomed to repeat them the first time!” Enjoy!]

The U.S. responded to Donovia’s invasion of Otso by initiating combat operations against the aggressors on 1 April 2030 — April Fools’ Day. Thousands of combatants died on both sides, mostly on ships; hundreds more were wounded, primarily from the land battle, and an unverifiable number of casualties occurred worldwide due to the sabotage of power grids and other infrastructure. An accurate civilian count was impossible in the chaos of reestablishing power, computer, and financial systems worldwide.

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May 4, 2019

109 – Bruce Damer on The Origins and Future of Life

Posted by in categories: biological, computing, space travel

Bruce Damer is a living legend and international man of mystery – specifically, the mystery of our cosmos, to which he’s devoted his life to exploring: the origins of life, simulating artificial life in computers, deriving amazing new plans for asteroid mining, and cultivating his ability to receive scientific inspiration from “endotripping” (in which he stimulates his brain’s own release of psychoactive compounds known to increase functional connectivity between brain regions). He’s about to work with Google to adapt his origins of life research to simulated models of the increasingly exciting hot springs origin hypothesis he’s been working on with Dave Deamer of UC Santa Cruz for the last several years. And he’s been traveling around the world experimenting with thermal pools, getting extremely close to actually creating new living systems in situ as evidence of their model. Not to mention his talks with numerous national and private space agencies to take the S.H.E.P.H.E.R.D. asteroid mining scheme into space to kickstart the division and reproduction of our biosphere among/between the stars…

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May 2, 2019

1000 x 1000 x 1000 Rubik’s Cube Solve

Posted by in categories: computing, media & arts

The biggest rubik’s cube… ever, being solved by a computer.

Please watch the new updated video instead (unless you really enjoy YouTube’s AudioSwap music): https://www.youtube.com/watch?v=0cedyW6JdsQ

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May 2, 2019

Using computers to crack open centuries-old mathematical puzzles

Posted by in categories: computing, information science, mathematics

Andrew Wiles’ proof of Fermat’s Last Theorem is a famous example. Pierre de Fermat claimed in 1637 – in the margin of a copy of “Arithmetica,” no less – to have solved the Diophantine equation xⁿ + yⁿ = zⁿ, but offered no justification. When Wiles proved it over 300 years later, mathematicians immediately took notice. If Wiles had developed a new idea that could solve Fermat, then what else could that idea do? Number theorists raced to understand Wiles’ methods, generalizing them and finding new consequences.

No single method exists that can solve all Diophantine equations. Instead, mathematicians cultivate various techniques, each suited for certain types of Diophantine problems but not others. So mathematicians classify these problems by their features or complexity, much like biologists might classify species by taxonomy.

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Apr 30, 2019

New ‘Superman’ crystals can store data for billions of years

Posted by in category: computing

Researchers in the U.K. have developed a way of storing digital data inside tiny structures contained in glass.

The storage technology is so stable and safe that it can survive for billions of years, scientists at the University of Southampton said this week.

That’s a lot longer than your average computer hard drive.

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Apr 30, 2019

Almost half of World Heritage sites could lose their glaciers by 2100

Posted by in categories: business, computing

Glaciers are set to disappear completely from almost half of World Heritage sites if business-as-usual emissions continue, according to the first-ever global study of World Heritage glaciers.

The sites are home to some of the world’s most iconic glaciers, such as the Grosser Aletschgletscher in the Swiss Alps, Khumbu Glacier in the Himalayas and Greenland’s Jakobshavn Isbrae.

The study in the AGU journal Earth’s Future and co-authored by scientists from the International Union for Conservation of Nature (IUCN) combines data from a global glacier inventory, a review of existing literature and sophisticated computer modeling to analyze the current state of World Heritage glaciers, their recent evolution, and their projected mass change over the 21st century.

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Apr 29, 2019

A Programmer Solved a 20-Year-Old, Forgotten Crypto Puzzle

Posted by in category: computing

A self-taught coder dedicated a CPU core to performing continuous computations for three years to crack the puzzle, beating a competing team by mere days.

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Apr 29, 2019

Physicists set a new record of quantum memory efficiency

Posted by in categories: computing, quantum physics

Like memory in conventional computers, quantum memory components are essential for quantum computers—a new generation of data processors that exploit quantum mechanics and can overcome the limitations of classical computers. With their potent computational power, quantum computers may push the boundaries of fundamental science to create new drugs, explain cosmological mysteries, or enhance accuracy of forecasts and optimization plans. Quantum computers are expected to be much faster and more powerful than their traditional counterparts as information is calculated in qubits, which, unlike the bits used in classical computers, can represent both zero and one in a simultaneous superstate.

Photonic quantum allows for the storage and retrieval of flying single-photon quantum states. However, production of such highly efficient quantum memory remains a major challenge as it requires a perfectly matched photon-matter quantum interface. Meanwhile, the energy of a single photon is too weak and can be easily lost into the noisy sea of stray light background. For a long time, these problems suppressed quantum memory efficiencies to below 50 percent—a threshold value crucial for practical applications.

Now, for the first time, a joint research team led by Prof. Du Shengwang from HKUST, Prof. Zhang Shanchao from SCNU, Prof. Yan Hui from SCNU and Prof. Zhu Shi-Liang from SCNU and Nanjing University has found a way to boost the efficiency of photonic quantum memory to over 85 percent with a fidelity of over 99 percent.

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