Luv it and not surprised since we have proven we can make QC scalable and Google’s new QC Device launches in 2017.
Maybe building a full-scale quantum computer is just a matter of linking a bunch of small ones.
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Nice.
There are many scientific and non-scientific varieties of the answer about what came before Big Bang. Some say there was literally nothing and some say a black hole or a multiverse. But now a group of mathematicians from Canada and Egypt have analyzed some cutting edge scientific theory and a complex set of equations to find what preceded the universe in which we live. Their research paper has been published in Nature.
To explain it in simple and easily understandable terms; they applied the theories of the very small i.e. the world of quantum mechanics, to the entire universe — explained by general theory of relativity, and discovered the universe essentially goes through four different phases.
Another article on the QC advancement; however, as I told folks synthetic diamonds are key plus the crystalized formation are proven to be very useful not only in QC processing; but also for the light-based (Quantum) networking. I see this only the beginning (as we have seen with Synthetic DNA data storage) for synthetic gem crystalize formations in their usage in technology. Hoping folks are checking out the 3D Printers creating these synthetics because we truly are on the path of seeing our world transform to new levels never imagined.
Abstract: By forcefully embedding two silicon atoms in a diamond matrix, Sandia researchers have demonstrated for the first time on a single chip all the components needed to create a quantum bridge to link quantum computers together.
“People have already built small quantum computers,” says Sandia researcher Ryan Camacho. “Maybe the first useful one won’t be a single giant quantum computer but a connected cluster of small ones.”
Distributing quantum information on a bridge, or network, could also enable novel forms of quantum sensing, since quantum correlations allow all the atoms in the network to behave as though they were one single atom.
China’s latest work on QC.
If early mechanical computers were never introduced to expand people’s computing ability, the invention of the atomic bomb would have gone out the window, and human history would have been rewritten.
This highlights the significance of computer simulation in scientists’ exploration of the physical world, which also explains their strong motivation in continuously pursuing higher computing power.
In a recent case, Chinese scientists managed to tremendously enhance such power — they succeeded in performing quantum simulation with atoms in extraordinarily cold conditions.
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 steps 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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