Technology

Here comes the quantum computer

A quantum computer is controlled by the laws of quantum physics; it promises to perform complicated calculations, or search large amounts of data, at a speed that exceeds by far those that today’s fastest supercomputers are capable of.

A traditional computer stores, processes and sends all information in the form of bits, which can have a value of 1 or 0. But in the world of quantum physics, at the nano- and atomic level, other rules prevail and a bit in a quantum computer – a qubit – can have any value between 1 and 0. A spin-based qubit makes use of the fact that electrons and atomic nuclei rotate around their own axes – they have a spin. They can rotate both clockwise and counterclockwise (equivalent to 1 and 0), and in both directions simultaneously (a mix of 1 and 0) – something that is completely unthinkable in the traditional, “classical” world.

An atomic nucleus consists of both protons and neutrons, and the advantage of using the nuclear spin as a qubit is that the nucleus is well protected, and nearly impervious to unwanted electromagnetic disturbance, which is a condition for keeping the sensitive information in the qubit intact.

The first step in building a quantum computer is to assign each qubit a well-defined value, either 1 or 0. Starting, or initiating, the spin-based qubits then requires all the atomic nuclei to spin in the same direction, either ‘up’ or ‘down’ (clockwise or counterclockwise). The most common method for polarising nuclear spin is called dynamic nuclear polarisation; this means that the electrons’ spin simply influences the nucleus to spin in the same direction. The method requires strongly spin polarised electrons and functions superbly at lower temperatures. Dynamic nuclear polarisation via conduction electrons has, however, not yet been demonstrated at room temperature – which is crucial for the method to be useful in practice for the development of quantum computers. The main problem is that the spin orientation in the electrons can easily be lost at room temperature, since it is sensitive to disruptions from its surroundings.

Linköping University researchers Yuttapoom Puttisong, Xingjun Wang, Irina Buyanova and Weimin Chen, together with their German and American colleagues, have now discovered a way of getting around this problem.

Back in 2009, Chen and his research group presented a spin filter that works at room temperature; the filter lets through electrons that have the desired spin direction and screens out the others.

With the help of the spin filter, they have now succeeded in producing a flow of free electrons with a given spin in a material – in this case GaNAs (gallium nitrogen arsenide). The spin polarisation is so strong that it creates a strong polarisation of the nuclear spin in extra Ga atoms that are added as defects in the material – and this takes place at room temperature. This is the first time that strong nuclear spin polarisation of a defect atom in a solid is demonstrated at room temperature by spin-polarised conduction electrons.

The researchers have also shown that the polarisation of the nuclear spin happens very quickly – potentially in less than a nanosecond (one-billionth of a second).

The method proposed also has the advantage of making use of free electrons. This makes it possible to control the polarisation of the spin in the nucleus electrically; in this way the information lying in the spin can both be initiated and read.

Uncategorized

Lost your keys? The brain can rapidly mobilize a search party

A contact lens on the bathroom floor, an escaped hamster in the backyard, a car key in a bed of gravel: How are we able to focus so sharply to find that proverbial needle in a haystack? Scientists at the University of California, Berkeley, have discovered that when we embark on a targeted search, various visual and non-visual regions of the brain mobilize to track down a person, animal or thing.

That means that if we’re looking for a youngster lost in a crowd, the brain areas usually dedicated to recognizing other objects, or even the areas attuned to abstract thought, shift their focus and join the search party. Thus, the brain rapidly switches into a highly focused child-finder, and redirects resources it uses for other mental tasks.

The findings, published in the journal Nature Neuroscience, help explain why we find it difficult to concentrate on more than one task at a time. The results also shed light on how people are able to shift their attention to challenging tasks, and may provide greater insight into neurobehavioral and attention deficit disorders such as ADHD.

These results were obtained in studies that used functional Magnetic Resonance Imaging (fMRI) to record the brain activity of study participants as they searched for people or vehicles in movie clips. In one experiment, participants held down a button whenever a person appeared in the movie. In another, they did the same with vehicles.

The brain scans simultaneously measured neural activity via blood flow in thousands of locations across the brain. Researchers used regularized linear regression analysis, which finds correlations in data, to build models showing how each of the roughly 50 000 locations near the cortex responded to each of the 935 categories of objects and actions seen in the movie clips. Next, they compared how much of the cortex was devoted to detecting humans or vehicles depending on whether or not each of those categories was the search target.

They found that when participants searched for humans, relatively more of the cortex was devoted to humans, and when they searched for vehicles, more of the cortex was devoted to vehicles. For example, areas that were normally involved in recognizing specific visual categories such as plants or buildings switched to become tuned to humans or vehicles, vastly expanding the area of the brain engaged in the search.

The findings build on an earlier UC Berkeley brain imaging study that showed how the brain organizes thousands of animate and inanimate objects into what researchers call a “continuous semantic space.” Those findings challenged previous assumptions that every visual category is represented in a separate region of visual cortex. Instead, researchers found that categories are actually represented in highly organized, continuous maps.

The latest study goes further to show how the brain’s semantic space is warped during visual search, depending on the search target. Researchers have posted their results in an interactive, online brain viewer. Other co-authors of the study are UC Berkeley neuroscientists Jack Gallant, Alexander Huth and Shinji Nishimoto.

Technology

Leap Motion

Leap Motion technology works seamlessly and easily with Windows 7 and 8 — even use multi-touch inputs — without actually touching anything.

Technology

New algorithm ranks scientific literature

Keeping up with current scientific literature is a daunting task, considering that hundreds to thousands of papers are published each day. Now researchers from North Carolina State University have developed a computer program to help them evaluate and rank scientific articles in their field.

The researchers use a text-mining algorithm to prioritize research papers to read and include in their Comparative Toxicogenomics Database (CTD), a public database that manually curates and codes data from the scientific literature describing how environmental chemicals interact with genes to affect human health.

To help select the most relevant papers for inclusion in the CTD, Thomas Wiegers, a research bioinformatician at NC State and the other co-lead author of the report, developed a sophisticated algorithm as part of a text-mining process. The application evaluates the text from thousands of papers and assigns a relevancy score to each document.

But how good is the algorithm at determining the best papers? To test that, the researchers text-mined 15 000 articles and sent a representative sample to their team of biocurators to manually read and evaluate on their own, blind to the computer’s score. The biocurators concurred with the algorithm 85 percent of the time with respect to the highest-scored papers.

Using the algorithm to rank papers allowed biocurators to focus on the most relevant papers, increasing productivity by 27 percent and novel data content by 100 percent.

There are always outliers in these types of experiments: occasions where the algorithm assigns a very high score to an article that a human biocurator quickly dismisses as irrelevant. The team that looked at those outliers was often able to see a pattern as to why the algorithm mistakenly identified a paper as important.

(The paper, “Text mining effectively scores and ranks the literature for improving chemical-gene-disease curation at the Comparative Toxicogenomics Database,” was published online April 17 in PLOS ONE. Co-authors are Dr. Cindy Murphy, a biocurator scientist at NC State; Dr. Carolyn Mattingly, associate professor of biology at NC State; and Drs. Robin Johnson, Jean Lay, Kelley Lennon-Hopkins, Cindy Saraceni-Richards and Daniela Sciaky from The Mount Desert Island Biological Laboratory.)

Technology

Lenovo IdeaCentre Horizon

A family gaming table for the digital age. Horizon table PC is a powerful 27″ touch all-in-one and a new kind of entertainment hub.

Technology

3D Microchip

Scientists from the University of Cambridge have created, for the first time, a new type of microchip which allows information to travel in three dimensions. Currently, microchips can only pass digital information in a very limited way – from either left to right or front to back. The research was published in Nature.

Researchers believe that in the future a 3D microchip would enable additional storage capacity on chips by allowing information to be spread across several layers instead of being compacted into one layer, as is currently the case.

For the research, the Cambridge scientists used a special type of microchip called a spintronic chip which exploits the electron’s tiny magnetic moment or ‘spin’ (unlike the majority of today’s chips which use charge-based electronic technology). Spintronic chips are increasingly being used in computers, and it is widely believed that within the next few years they will become the standard memory chip.

To create the microchip, the researchers used an experimental technique called ‘sputtering’. They effectively made a club-sandwich on a silicon chip of cobalt, platinum and ruthenium atoms. The cobalt and platinum atoms store the digital information in a similar way to how a hard disk drive stores data. The ruthenium atoms act as messengers, communicating that information between neighbouring layers of cobalt and platinum. Each of the layers is only a few atoms thick.

They then used a laser technique called MOKE to probe the data content of the different layers. As they switched a magnetic field on and off they saw in the MOKE signal the data climbing layer by layer from the bottom of the chip to the top. They then confirmed the results using a different measurement method.

Location applications

Cape Town’s heritage mapped

city-heritageCape Town, South Africa, is one of the world’s most popular tourist destinations. It has a great climate, a fantastic natural setting and a good infrastructure.

As the Victoria & Alfred Waterfront in Cape Town is the most popular tourist spot in South Africa, the site launched with the all heritage sites and famous landmarks in the area.

Work on the next phase has already started, all the heritage sites on Robben Island, a World Heritage Site, where Nelson Mandela was a prisoner for many years.

The third phase will start with the most famous of the city’s many natural wonders, Table Mountain. The city centre at the foot of the mountain will be mapped, followed by the suburbs of the Atlantic seaboard in the following phases.
Cape-Town-Heritage.co.za aims to map all the heritage sites and famous landmarks in the Cape Peninsula.

Information

A History of Home Heating

The History of Home Heating [Infographic] – An infographic by the team at Global Home Improvements

Cloud applications

The cloud for robots

Researchers of five European universities have developed a cloud-computing platform for robots. The platform allows robots connected to the Internet to directly access the powerful computational, storage, and communications infrastructure of modern data centers – the giant server farms behind the likes of Google, Facebook, and Amazon – for robotics tasks and robot learning.

With the development of the RoboEarth Cloud Engine the team continues their work towards creating an Internet for robots. The new platform extends earlier work on allowing robots to share knowledge with other robots via a WWW-style database, greatly speeding up robot learning and adaptation in complex tasks.

The developed Platform as a Service (PaaS) for robots allows to perform complex functions like mapping, navigation, or processing of human voice commands in the cloud, at a fraction of the time required by robots’ on-board computers. By making enterprise-scale computing infrastructure available to any robot with a wireless connection, the researchers believe that the new computing platform will help pave the way towards lighter, cheaper, more intelligent robots.

“The RoboEarth Cloud Engine is particularly useful for mobile robots, such as drones or autonomous cars, which require lots of computation for navigation. It also offers significant benefits for robot co-workers, such as factory robots working alongside humans, which require large knowledge databases, and for the deployment of robot teams.” says Mohanarajah Gajamohan, researcher at the Swiss Federal Institute of Technology (ETH Zurich) and Technical Lead of the project.

“On-board computation reduces mobility and increases cost.”, says Dr. Heico Sandee, RoboEarth’s Program Manager at Eindhoven University of Technology in the Netherlands, “With the rapid increase in wireless data rates caused by the booming demand of mobile communications devices, more and more of a robot’s computational tasks can be moved into the cloud.”

While high-tech companies that heavily rely on data centers have been criticized for creating fewer jobs than traditional companies (e.g., Google or Facebook employ less than half the number of workers of General Electric or Hewlett-Packard per dollar in revenue), the researchers don’t believe that this new robotics platform should be cause for alarm. According to a recent study by the International Federation of Robotics and Metra Martech entitled “Positive Impact of Industrial Robots on Employment”, robots don’t kill jobs but rather tend to lead to an overall growth in jobs.

Uncategorized

We know when we’re being lazy thinkers

Are we intellectually lazy? Yes we are, but we do know when we take the easy way out, according to a new study by Wim De Neys and colleagues, from the CNRS in France. Contrary to what psychologists believe, we are aware that we occasionally answer easier questions rather than the more complex ones we were asked, and we are also less confident about our answers when we do. The work is published online in Springer’s journal Psychonomic Bulletin & Review.

Research to date on human thinking suggests that our judgment is often biased because we are intellectually lazy, or so-called cognitive misers. We intuitively substitute hard questions for easier ones. What is less clear is whether or not we realize that we are doing this and notice our mistake.

Using an adaptation of the standard ‘bat-and-ball’ problem, the researchers explored this phenomenon. The typical ‘bat-and-ball’ problem is as follows: a bat and ball together cost $1.10. The bat costs $1 more than the ball. How much does the ball cost? The intuitive answer that immediately springs to mind is 10 cents. However, the correct response is 5 cents.

The authors developed a control version of this problem, without the relative statement that triggers the substitution of a hard question for an easier one: A magazine and a banana together cost $2.90. The magazine costs $2. How much does the banana cost?

A total of 248 French university students were asked to solve each version of the problem. Once they had written down their answers, they were asked to indicate how confident they were that their answer was correct.

Only 21 percent of the participants managed to solve the standard problem (bat/ball) correctly. In contrast, the control version (magazine/banana) was solved correctly by 98 percent of the participants. In addition, those who gave the wrong answer to the standard problem were much less confident of their answer to the standard problem than they were of their answer to the control version. In other words, they were not completely oblivious to the questionable nature of their wrong answer. The key reason seems to be that reasoners tend to minimize cognitive effort and stick to intuitive processing.

The authors comment: “Although we might be cognitive misers, we are not happy fools who blindly answer erroneous questions without realizing it.”

Indeed, although people appear to unconsciously substitute hard questions for easier ones, in reality, they are less foolish than psychologists might believe because they do know they are doing it.