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Category: supercomputing – Page 108

IBM makes quantum computing available free on IBM Cloud

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.

CoinFac Brings Quantum Computing Technology To Cryptocurrency Mining

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.

The World’s Smartest People Speak on Artificial Intelligence

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.

Continue reading “The World’s Smartest People Speak on Artificial Intelligence” | >

Google Announced Their D-Wave 2X Quantum Computer Succesfully Works

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.

IBM’s Quantum Computing Is For ‘Anyone’, But Is It For Everyone?

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.

IBM Quantum Computing To Accelerate Cloud Innovation

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.

Australia opens quantum computing lab in Sydney

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.

Could Aluminum Nitride Be Engineered to Produce Quantum Bits?

Interesting insight on Aluminum Nitride used to create Qubits.

http:///articles/could-aluminum-nitride-be-engineered-to-pro…nteresting insight.

Newswise — Quantum computers have the potential to break common cryptography techniques, search huge datasets and simulate quantum systems in a fraction of the time it would take today’s computers. But before this can happen, engineers need to be able to harness the properties of quantum bits or qubits.

Currently, one of the leading methods for creating qubits in materials involves exploiting the structural atomic defects in diamond. But several researchers at the University of Chicago and Argonne National Laboratory believe that if an analogue defect could be engineered into a less expensive material, the cost of manufacturing quantum technologies could be significantly reduced. Using supercomputers at the National Energy Research Scientific Computing Center (NERSC), which is located at the Lawrence Berkeley National Laboratory (Berkeley Lab), these researchers have identified a possible candidate in aluminum nitride. Their findings were published in Nature Scientific Reports.

“Silicon semiconductors are reaching their physical limits—it’ll probably happen within the next five to 10 years—but if we can implement qubits into semiconductors, we will be able to move beyond silicon,” says Hosung Seo, University of Chicago Postdoctoral Researcher and a first author of the paper.

Nvidia GPU-powered autonomous car teaches itself to see and steer

I do love Nvidia!

During the past nine months, an Nvidia engineering team built a self-driving car with one camera, one Drive-PX embedded computer and only 72 hours of training data. Nvidia published an academic preprint of the results of the DAVE2 project entitled End to End Learning for Self-Driving Cars on arXiv.org hosted by the Cornell Research Library.

The Nvidia project called DAVE2 is named after a 10-year-old Defense Advanced Research Projects Agency (DARPA) project known as DARPA Autonomous Vehicle (DAVE). Although neural networks and autonomous vehicles seem like a just-invented-now technology, researchers such as Google’s Geoffrey Hinton, Facebook’s Yann Lecune and the University of Montreal’s Yoshua Bengio have collaboratively researched this branch of artificial intelligence for more than two decades. And the DARPA DAVE project application of neural network-based autonomous vehicles was preceded by the ALVINN project developed at Carnegie Mellon in 1989. What has changed is GPUs have made building on their research economically feasible.

Neural networks and image recognition applications such as self-driving cars have exploded recently for two reasons. First, Graphical Processing Units (GPU) used to render graphics in mobile phones became powerful and inexpensive. GPUs densely packed onto board-level supercomputers are very good at solving massively parallel neural network problems and are inexpensive enough for every AI researcher and software developer to buy. Second, large, labeled image datasets have become available to train massively parallel neural networks implemented on GPUs to see and perceive the world of objects captured by cameras.

Futuristic ‘post-quantum’ cryptography is subject of UWT symposium

Post-quantum cryptography discussion in Tacoma WA on May 5th discussing hacking by QC hackers and leveraging Cryptography algorithms to offset the attacks; may be of interest to sit in and even join in the debates. I will try attend if I can because it would be interesting to see the arguments raised and see the responses.

The University of Washington Tacoma Institute of Technology will present a discussion about the esoteric field of post-quantum cryptography at the Northwest Cybersecurity Symposium on May 5.

“I’ve been researching post-quantum cryptography for years, finding ways to protect against a threat that doesn’t yet exist,” said Anderson Nascimento, assistant professor of computer science at the institute, in a release.

Post-quantum cryptography refers to encryption that would be secure against an attack by a quantum computer — a kind of supercomputer using quantum mechanics, which, so far, exists only in theory.

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