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Category: supercomputing

More news on the using the magnetic vortex method to control electron spin.

Researchers at Case Western Reserve University have developed a way to swiftly and precisely control electron spins at room temperature.

The technology, described in Nature Communications, offers a possible alternative strategy for building quantum computers that are far faster and more powerful than today’s supercomputers.

“What makes electronic devices possible is controlling the movement of electrons from place to place using electric fields that are strong, fast and local,” said physics Professor Jesse Berezovsky, leader of the research. “That’s hard with magnetic fields, but they’re what you need to control spin.”

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Ubiquitous, mobile supercomputing. Artificially-intelligent robots. Self-driving cars. Neuro-technological brain enhancements. Genetic editing. The evidence of dramatic change is all around us and it’s happening at exponential speed.

Previous industrial revolutions liberated humankind from animal power, made mass production possible and brought digital capabilities to billions of people. This Fourth Industrial Revolution is, however, fundamentally different. It is characterized by a range of new technologies that are fusing the physical, digital and biological worlds, impacting all disciplines, economies and industries, and even challenging ideas about what it means to be human.

http://www.weforum.org/

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An Israeli medical imaging company has signed a deal with a Utah-based healthcare provider that could change the way we diagnose certain conditions. Zebra Medical Imaging is teaming up with Intermountain to work on a neural network that will compare fresh X-rays with the “millions” stored in its own database. The eventual aim of the project is to offer up suggestions to radiographers and other medical professionals and eliminate costly misdiagnoses.

For instance, let’s imagine that you’ve gone to hospital for some unknown condition and you get an X-ray. Rather than handing the slide to a doctor, who could miss a small shadow or other minor clue, the image would be handed to the computer. It would use deep learning to trawl an anonymized patient database looking for any anomalies that you might be suffering from. The current system will work on bone health, cardiovascular analysis and lung conditions, although who knows where the possibilities will end.

As deep learning technology gets more powerful, smaller and significantly cheaper, the potential for AI to assist doctors becomes more realistic. IBM has spent the last few years pushing Watson, its homegrown supercomputer, as a system to aid decision making for patients. At the same time, companies like LG are trying to shrink medical imaging technology to end the days of bulky hospital equipment being available for a chosen few. All in all, the idea of a medical tricorder is going from fantastical to plausible in less time than you’d expect.

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https://youtube.com/watch?v=jf7D8snlsnQ

Layout of IBM’s five superconducting quantum bit device. In 2015, IBM scientists demonstrated critical breakthroughs to detect quantum errors by combining superconducting qubits in latticed arrangements, and whose quantum circuit design is the only physical architecture that can scale to larger dimensions. Now, IBM scientists have achieved a further advance by combining five qubits in the lattice architecture, which demonstrates a key operation known as a parity measurement — the basis of many quantum error correction protocols. (credit: IBM Research)

IBM Research has announced that effective Wednesday May 4, it is making quantum computing available free to members of the public, who can access and run experiments on IBM’s quantum processor, via the IBM Cloud, from any desktop or mobile device.

IBM believes quantum computing is the future of computing and has the potential to solve certain problems that are impossible to solve on today’s supercomputers.

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QC meets Blockchaining; nice.

CoinFac Limited, a technology company, has recently introduced the next generation quantum computing technology into cryptocurrency mining, allowing current Bitcoin and Altcoin miners to enjoy a 4,000 times speed increase.

Quantum computing is being perceived as the next generation of supercomputers capable of processing dense digital information and generating multi-sequential algorithmic solutions 100,000 times faster than conventional computers. With each quantum computing server costing at an exorbitant price tag of $5 Million — $10 Million, this revolutionary concoction comprising advanced technological servers with a new wave of currency systems, brings about the most uprising event in the cryptocurrency ecosystem.

“We envisioned cryptocurrency to be the game changer in most developed country’s economy within the next 5 years. Reliance of quantum computing technology expedite the whole process, and we will be recognized as the industry leader in bringing about this tidal change. We aren’t the only institution fathom to leverage on this technology. Other Silicon big boys are already in advance talks of a possible tie up”, said Mike Howzer, CEO of CoinFac Limited. “Through the use of quantum computing, usual bitcoin mining processes are expedited by a blazing speed of 4,000 times. We bring lucrative mining back into Bitcoin industry, all over again”.

Google, NASA and Microsoft have been in close talk with the developers of a possible integration using quantum computing into their existing products and platform.

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Michio Kaku.

The 69-year-old bestselling author, theoretical physicist and futurist takes a longer, more pragmatic view, calling AI an end-of-the-century problem. He adds that even then, if humanity’s come up with no better methods to constrain rogue AI, it’ll be a matter of putting ‘a chip in [artificially intelligent robot] brains to shut them off.’

Artificial intelligence (AI) will end us, save us or—less jazzy-sounding but the more probable intersection of both—eventually obsolete us. From humbling chess grandmaster losses at the hands of mathematically brilliant supercomputers to semantic networks with the linguistic grasp of a four-year-old, one thing seems certain: AI is coming.

Here’s what today’s brightest programmers, philosophers and entrepreneurs have said about our terrifying, astonishing future.

Sam Altman

Altman, who’s working on developing an open-source version of AI that would be available to all rather than the few, believes future iterations could be designed to self-police, working only toward benevolent ends. The 30-year-old computer programmer and president of startup incubator Y Combinator says his “OpenAI” system will surpass human intelligence in a matter of decades, but that the fact that it’s available to anyone (as opposed to locked behind private, proprietary doors) should offset any risks.

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It seems that the D-Wave Computer does work, and the theory is that the hardware is 3,600 times faster than other supercomputers. It is the nearest we have to quantum computing, and there have been two tests leading to the announcement that it was far more quickly than simulated annealing which is a copy of quantum computation carried out on a standard computer chip.

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Eventually it will be in everything tech. This version by IBM; is not for the masses. However, don’t worry; it’s coming.

Users will eventually be able to contribute and review results in the coming community, which will be hosted on the IBM Quantum Experience. So kudos to IBM for properly managing expectations.

The researchers at IBM have created a quantum processor, made up of five superconducting quantum bits (qubits).

The company said anyone can run experiments on the computing platform by accessing its website connected to the IBM Cloud. Arvind Krishna, senior vice president and director, IBM Research, noted that quantum computers would be very different from even today’s top supercomputers in looks, structure, and capabilities. A universal quantum computer, once built, has the potential to solve problems that are not solvable with today’s classical computers, IBM said. It can also allow for analysis of much larger quantities of data than can be done by today’s supercomputers.

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Hmmm; my verdict is out for now.

IBM Quantum Computing Scientist Jay Gambetta uses a tablet to interact with the IBM Quantum Experience, the world’s first quantum computing platform delivered via the IBM Cloud at IBM’s T. J. Watson Research Center in Yorktown, NY.

On Wednesday, May 4, for the first time ever, IBM is making quantum computing available via the cloud to anyone interested in hands-on access to an IBM quantum processor, making it easier for researchers and the scientific community to accelerate innovations, and help discover new applications for this technology. This is the beginning of the quantum age of computing and the latest advance from IBM towards building a universal quantum computer. A universal quantum computer, once built, will represent one of the greatest milestones in the history of information technology and has the potential to solve certain problems we couldn’t solve, and will never be able to solve, with today’s classical computers. (Jon Simon/Feature Photo Service for IBM)

IBM scientists have built a quantum processor that users can access through a first-of-a-kind quantum computing platform delivered via the IBM Cloud onto any desktop or mobile device. IBM believes quantum computing is the future of computing and has the potential to solve certain problems that are impossible to solve on today’s supercomputers.

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I am totally jealous right now!

Australia opened a new quantum computing lab at the University of New South Wales (UNSW).

This follows the government’s $26-million investment in the Centre of Excellence for Quantum Computation & Communication Technology (CQC2T) as part of the National Innovation and Science Agenda. The government’s investment is supported by $10 million each from Telstra and the Commonwealth Bank of Australia (CBA).

Today’s digital computers have finite processing power whereas a commercial quantum computer will deliver a significant speed-up in power, including over a supercomputer.

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