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New experiments in Calgary tested quantum teleportation in actual infrastructure, representing a major step forward for the technology.

Quantum physics is a field that appears to give scientists superpowers. Those who understand the world of extremely small or cold particles can perform amazing feats with them — including teleportation — that appear to bend reality.

The science behind these feats is complicated, and until recently, didn’t exist outside of lab settings. But that’s changing: researchers have begun to implement quantum teleportation in real-world contexts. Being able to do so just might revolutionize modern phone and Internet communications, leading to highly secure, encrypted messaging.

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Los Alamos is the 1st place where QC Internet was launched.


A research team from Los Alamos National Laboratory published a paper in the journal Nature Energy this week that demonstrates an effective method for scaling up quantum dot solar power technology from production models to full-sized windows that could power a building.

“We are developing solar concentrators that will harvest sunlight from building windows and turn it into electricity, using quantum-dot based luminescent solar concentrators,” lead scientist and leader of the Los Alamos Center for Advanced Solar Photophysics (CASP) Victor Klimov said.

The Los Alamos paper advances techniques relating to luminescent solar concentrators (LSCs) – slabs of transparent glass or plastic into or onto which highly emissive fluorophores are placed in order to create large-area sunlight collectors for photovoltaic cells – examining large LSC windows that were created by using a blade to create a thin, highly uniform film on a surface. The quantum dots used in the Nature Energy study are dual-layered semiconductor spheres that enable control over the two separate layers’ emission spectra.

This week in San Diego, Singularity University hosted its annual Exponential Medicine conference. The conference aims to connect the dots between healthcare disciplines and cutting-edge tech by convening medical practitioners, technologists, entrepreneurs, and over 80 expert speakers from the field.

It’s easy to say “healthcare is broken” and call it a day, but a quote from brilliant thinker Maria Popova reminds us of the power of optimism to create change:

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Nice.


(Phys.org)—A team of researchers with Harvard University and the University of Cambridge has successfully improved the accuracy of a synthetic clock known as a repressilator. In their paper published in the journal Nature, the team describes the steps they took to reduce the amount of noise in the biological system and how well it worked. Xiaojing Gao and Michael Elowitz with the California Institute of Technology offer a News & Views piece on the work done by the team and explain how their results could improve understanding of natural gene circuits.

Scientists have noted the high precision that some living cells demonstrate in keeping track of time, such as those that are part of the circadian clock, and have tried to duplicate the process. Sixteen years ago, Michael Elowitz and Stanislas Leibler developed what is now known as the repressilator—a synthetic oscillating genetic circuit. Their results demonstrated that it was possible for genetic circuits to be designed and built in the lab. The resulting circuit functioned, but was noisy, and therefore much less accurate than natural cell clocks. In this new effort, the researchers improved several of the design of the repressilator, each greatly reducing the amount of noise, and in so doing, increased the precision.

The repressilator was made using repressor proteins that would bind to DNA sequences that were adjacent to a gene to be targeted for inhibition. Three repressors were created such that each one represented the expression of the next cycle—when the protein in one repressor increased, it caused a decrease in the expression of the second, which in turn caused an increase in expression of the third, and so on, resulting in oscillations—the actions were monitored by reporters. Unfortunately, each was bothered by random fluctuations known as noise. To reduce the noise, the researchers integrated the reporters into the repressilator, engineered the repressor proteins to degrade in order to reduce the number of copies made, and increased the binding threshold between one of the repressors and the DNA sequence.

For decades the efficient coding hypothesis has been a guiding principle in determining how neural systems can most efficiently represent their inputs. However, conclusions about whether neural circuits are performing optimally depend on assumptions about the noise sources encountered by neural signals as they are transmitted. Here, we provide a coherent picture of how optimal encoding strategies depend on noise strength, type, location, and correlations. Our results reveal that nonlinearities that are efficient if noise enters the circuit in one location may be inefficient if noise actually enters in a different location. This offers new explanations for why different sensory circuits, or even a given circuit under different environmental conditions, might have different encoding properties.

Citation: Brinkman BAW, Weber AI, Rieke F, Shea-Brown E (2016) How Do Efficient Coding Strategies Depend on Origins of Noise in Neural Circuits? PLoS Comput Biol 12(10): e1005150. doi:10.1371/journal.pcbi.1005150

Editor: Jeff Beck, Duke University, UNITED STATES

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Watching millions of neurons in the brain interacting with each other is the ultimate dream of neuroscientists! A new imaging method now makes it possible to observe the activation of large neural circuits, currently up to the size of a small-animal brain, in real time and three dimensions. Researchers at the Helmholtz Zentrum München and the Technical University of Munich have recently reported on their new findings in Nature’s journal ‘Light: Science & Applications’.

Nowadays it is well recognized that most brain functions may not be comprehended through inspection of single neurons. To advance meaningfully, neuroscientists need the ability to monitor the activity of millions of neurons, both individually and collectively. However, such observations were so far not possible due to the limited penetration depth of optical microscopy techniques into a living brain.

A team headed by Prof. Dr. Daniel Razansky, a group leader at the Institute of Biological and Molecular Imaging (IBMI), Helmholtz Zentrum München, and Professor of Molecular Imaging Engineering at the Technical University of Munich, has now found a way to address this challenge. The new method is based on the so-called optoacoustics*, which allows non-invasive interrogation of living tissues at centimeter scale depths.

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The nerves we feel before a stressful event—like speaking in public, for example—are normally kept in check by a complex system of circuits in our brain. Now, scientists at Rockefeller University have identified a key molecule within this circuitry that is responsible for relieving anxiety. Intriguingly, it doesn’t appear to reduce anxiety in female mice, only in males.

“This is unusual, because the particular cell type involved here is the same in the male and female brain—same in number, same in appearance,” says Nathaniel Heintz, head of the Laboratory of Molecular Biology and a Howard Hughes Medical Institute investigator. “It’s a rare case where a single cell type is activated by the same stimulus but yields two different behaviors in each gender.”

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Friday, October 14, 2016 by: Ethan A. Huff, staff writerTags: trees, social communication, plant science (NaturalNews) If trees could talk, what would they say? Emerging research suggests that if they had mouths, they might just say a whole lot because, believe it or not, trees have brains and intelligence, and are able to communicate with other trees much like humans do with other humans when in social situations.

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