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Oct 11, 2016

Five reasons quantum computing is the future for traders

Posted by in categories: computing, quantum physics

Here’s why quantum computing represents the future for investment managers, analysts and traders on the buy-side and the sell-side.

http://news.efinancialcareers.com/us-en/245138/pit-traders/

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Oct 11, 2016

Electron spins talk to each other via a ‘quantum mediator’

Posted by in categories: computing, nanotechnology, quantum physics

The unparalleled possibilities of quantum computers are currently still limited because information exchange between the bits in such computers is difficult, especially over larger distances. FOM workgroup leader Lieven Vandersypen and his colleagues within the QuTech research centre and the Kavli Institute for Nanosciences (Delft University of Technology) have succeeded for the first time in enabling two non-neighbouring quantum bits in the form of electron spins in semiconductors to communicate with each other. They publish their research on 10 October in Nature Nanotechnology.

Information exchange is something that we scarcely think about these days. People constantly communicate via e-mails, mobile messaging applications and phone calls. Technically, it is the bits in those various devices that talk to each other. “For a normal computer, this poses absolutely no problem,” says professor Lieven Vandersypen. “However, for the quantum computer – which is potentially much faster than the current computers – that information exchange between quantum bits is very complex, especially over long distances.”

Mediating with quantum dots
Mediating with quantum dots Artist impression of two electron spins that talk to each other via a ‘quantum mediator’. The two electrons are each trapped in a semiconductor nanostructure (quantum dot). The two spins interact, and this interaction is mediated by a third, empty quantum dot in the middle. In the future, coupling over larger distances can be achieved using other objects in between to mediate the interaction. This will allow researchers to create two-dimensional networks of coupled spins, that act as quantum bits in a future quantum computer. Copyright: Tremani/TU Delft.

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Oct 11, 2016

Atomic-scale MRI holds promise for new drug discovery

Posted by in categories: biotech/medical, computing, quantum physics

Researchers at the University of Melbourne have developed a way to radically miniaturise a Magnetic Resonance Imaging (MRI) machine using atomic-scale quantum computer technology.

Capable of imaging the structure of a single bio-molecule, the new system would overcome significant technological challenges and provide an important new tool for biotechnology and drug discovery.

The work was published today in Nature Communications, and was led by Prof Lloyd Hollenberg at the University of Melbourne, working closely with researchers at the ARC Centre of Excellence for Quantum Computation and Communication Technology (CQC2T) to design the quantum molecular microscope.

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Oct 11, 2016

Quantum Computing Could Cripple Encryption; Bitcoin’s Role

Posted by in categories: bitcoin, business, cybercrime/malcode, encryption, government, quantum physics

Earlier this week, Canada’s electronic spy agency the Communications Security Establishment warned government agencies and businesses against quantum mechanics, which could cripple the majority of encryption methods implemented by leading corporations and agencies globally.

Governments and private companies employ a variety of cryptographic security systems and protocols to protect and store important data. Amongst these encryption methods, the most popular system is public key cryptography (PKC), which can be integrated onto a wide range of software, platforms, and applications to encrypt data.

The Communications Security Establishment and its chief Greta Bossenmaier believes that quantum computing is technically capable of targeting PKC-based encryption methods, making data vulnerable to security breaches and hacking attempts from foreign state spies and anonymous hacking groups.

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Oct 11, 2016

Quantum Information Processing Near Spinning Black Holes

Posted by in categories: cosmology, quantum physics

Spinning black holes are capable of complex quantum information processes encoded in the X-ray photons.

The black holes sparked the public imagination for almost 100 years. Their presence in the universe has been long debated; however, the detection of X-ray radiation coming from the center of the galaxies, a feature of black holes, has put an end to the discussion and undoubtedly proven their existence.

The vast majority, if not all, of the known black holes were unveiled by detecting the X-ray radiation emitted by the stellar material accreting around them. Accretion disks emit X-ray radiation, light with high energy, due to the extreme gravity in the vicinity of black holes. X-ray photons emitted near rotating black holes not only exposed the existence of these phantom-like astrophysical bodies, but also seem to carry hidden quantum messages.

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Oct 11, 2016

Launched: A Synthetic Biology Factory for Making Weird New Organisms

Posted by in categories: bioengineering, biological, robotics/AI

Need a yeast that spits out rose oil? The synthetic biology company Ginkgo Bioworks is on it.

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Oct 11, 2016

Caverlee, Hu receive DARPA grant to fill in the gaps of spatial-temporal datasets

Posted by in category: information science

Image of James CaverleeThe Defense Sciences Office at the Defense Advanced Research Projects Agency (DARPA) has awarded Dr. James Caverlee and Dr. Xia “Ben” Hu a Next Generation Social Science (NGS2) grant to complete their collaborative research project, HELIOS, named after the Greek god with the ability to see the invisible.

Along with being a part of the Texas A&M Engineering Experiment Station’s (TEES) Center for Digital Libraries, Caverlee is an associate professor and Hu is an assistant professor in the Department of Computer Science and Engineering at Texas A&M University.

The HELIOS project aims to create new computational methods and algorithms to fill in the gaps of rapidly evolving spatial-temporal datasets, which are datasets that measure both space and time. These types of datasets are generally missing information, which prohibit accurate assessments of time and location.

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Oct 11, 2016

The Pentagon Wants to Use Bitcoin Technology to Guard Nuclear Weapons

Posted by in categories: bitcoin, military

Blockchain can’t stop unauthorized access, but it could help lessen the damage.

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Oct 11, 2016

The future of brain and machine is intertwined, and it’s already here

Posted by in categories: futurism, neuroscience

Imagine a condition that leaves you fully conscious, but unable to move or communicate, as some victims of severe strokes or other neurological damage experience.

This is locked-in syndrome, when the outward connections from the brain to the rest of the world are severed. Technology is beginning to promise ways of remaking these connections, but is it our ingenuity or the brain’s that is making it happen?

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Oct 11, 2016

Brain modulyzer provides interactive window into the brain

Posted by in categories: biotech/medical, computing, neuroscience

For the first time, a new tool developed at the Department of Energy’s (DOE’s) Lawrence Berkeley National Laboratory (Berkeley Lab) allows researchers to interactively explore the hierarchical processes that happen in the brain when it is resting or performing tasks. Scientists also hope that the tool can shed some light on how neurological diseases like Alzheimer’s spread throughout the brain.

Created in conjunction with computer scientists at University of California, Davis (UC Davis) and with input from neuroscientists at UC San Francisco (UCSF), the software, called Brain Modulyzer, combines multiple coordinated views of functional magnetic resonance imaging (fMRI) data — like heat maps, node link diagrams and anatomical views — to provide context for brain connectivity data.

“The tool provides a novel framework of visualization and new interaction techniques that explore the brain connectivity at various hierarchical levels. This method allows researchers to explore multipart observations that have not been looked at before,” says Sugeerth Murugesan, who co-led the development of Brain Modulyzer. He is currently a graduate student researcher at Berkeley Lab and a PhD candidate at UC Davis.

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