Limitless learning Universe
9.5K views | +0 today
Follow
Limitless learning Universe
Nature and the universe are a wonder. Insufficiently explored...
Curated by CineversityTV
Your new post is loading...
Your new post is loading...
Rescooped by CineversityTV from Amazing Science
Scoop.it!

D-Wave Systems Breaks the 1000 Qubit Quantum Computing Barrier #science #tech

D-Wave Systems Breaks the 1000 Qubit Quantum Computing Barrier #science #tech | Limitless learning Universe | Scoop.it

New Milestone Will Enable System to Address Larger and More Complex Problems

 

D-Wave Systems Inc., the world's first quantum computing company, today announced that it has broken the 1000 qubit barrier, developing a processor about double the size of D-Wave’s previous generation and far exceeding the number of qubits ever developed by D-Wave or any other quantum effort.

 

This is a major technological and scientific achievement that will allow significantly more complex computational problems to be solved than was possible on any previous quantum computer.

 

D-Wave’s quantum computer runs a quantum annealing algorithm to find the lowest points, corresponding to optimal or near optimal solutions, in a virtual “energy landscape.” Every additional qubit doubles the search space of the processor. At 1000 qubits, the new processor considers 21000possibilities simultaneously, a search space which dwarfs the 2512 possibilities available to the 512-qubit D-Wave Two. ‪In fact, the new search space contains far more possibilities than there are ‪particles in the observable universe.

 

“For the high-performance computing industry, the promise of quantum computing is very exciting. It offers the potential to solve important problems that either can’t be solved today or would take an unreasonable amount of time to solve,” said Earl Joseph, IDC program vice president for HPC. “D-Wave is at the forefront of this space today with customers like NASA and Google, and this latest advancement will contribute significantly to the evolution of the Quantum Computing industry.”

 

As the only manufacturer of scalable quantum processors, D-Wave breaks new ground with every succeeding generation it develops. The new processors, comprising over 128,000 Josephson tunnel junctions, are believed to be the most complex superconductor integrated circuits ever successfully yielded. They are fabricated in part at D-Wave’s facilities in Palo Alto, CA and at Cypress Semiconductor’s wafer foundry located in Bloomington, Minnesota.

 

“Temperature, noise, and precision all play a profound role in how well quantum processors solve problems.  Beyond scaling up the technology by doubling the number of qubits, we also achieved key technology advances prioritized around their impact on performance,” said Jeremy Hilton, D-Wave vice president, processor development. “We expect to release benchmarking data that demonstrate new levels of performance later this year.”

 

The 1000-qubit milestone is the result of intensive research and development by D-Wave and reflects a triumph over a variety of design challenges aimed at enhancing performance and boosting solution quality. Beyond the much larger number of qubits, other significant innovations include:

 

 Lower Operating Temperature: While the previous generation processor ran at a temperature close to absolute zero, the new processor runs 40% colder. The lower operating temperature enhances the importance of quantum effects, which increases the ability to discriminate the best result from a collection of good candidates.Reduced Noise: Through a combination of improved design, architectural enhancements and materials changes, noise levels have been reduced by 50% in comparison to the previous generation. The lower noise environment enhances problem-solving performance while boosting reliability and stability.Increased Control Circuitry Precision: In the testing to date, the increased precision coupled with the noise reduction has demonstrated improved precision by up to 40%. To accomplish both while also improving manufacturing yield is a significant achievement.Advanced Fabrication:  The new processors comprise over 128,000 Josephson junctions (tunnel junctions with superconducting electrodes) in a 6-metal layer planar process with 0.25μm features, believed to be the most complex superconductor integrated circuits ever built.New Modes of Use: The new technology expands the boundaries of ways to exploit quantum resources.  In addition to performing discrete optimization like its predecessor, firmware and software upgrades will make it easier to use the system for sampling applications.


Via Dr. Stefan Gruenwald
more...
No comment yet.
Rescooped by CineversityTV from Amazing Science
Scoop.it!

World Within Worlds: Geeky Math Equation Creates Beautiful 3-D Worlds

World Within Worlds: Geeky Math Equation Creates Beautiful 3-D Worlds | Limitless learning Universe | Scoop.it

The quest by a group of math geeks to create a three-dimensional analogue for the mesmerizing Mandelbrot fractal has ended in success.

 

They call it the Mandelbulb. The 3-D renderings were generated by applying an iterative algorithm to a sphere. The same calculation is applied over and over to the sphere’s points in three dimensions. In spirit, that’s similar to how the original 2-D Mandelbrot set generates its infinite and self-repeating complexity.

 

The following images are worth a look. Each photo is a zoom on one of these Mandelbulbs.  Daniel White, the amateur fractal image maker who coordinated the Mandelbulb effort, admits this creation isn’t exactly the Mandelbrot in 3-D. It’s mesmerizing and beautiful, but as he notes, only some versions of their original formula generate the kind of detail and complexity they are looking for. Their original equation doesn’t work very well unless you take it beyond the 2nd power. The picture above, White says, doesn’t have the level of detail that should be there.

 

“That means the biggest secret is still under wraps, open to anyone who has the inclination, and appreciation for how cool this thing would look,” White wrote on his website.


Via Dr. Stefan Gruenwald
more...
No comment yet.
Rescooped by CineversityTV from Amazing Science
Scoop.it!

Chinese Search Company Baidu Built a Giant Artificial-Intelligence Supercomputer #tech #science

Chinese Search Company Baidu Built a Giant Artificial-Intelligence Supercomputer #tech #science | Limitless learning Universe | Scoop.it

Chinese search giant Baidu says it has invented a powerful supercomputer that brings new muscle to an artificial-intelligence technique giving software more power to understand speech, images, and written language.


The new computer, called Minwa and located in Beijing, has 72 powerful processors and 144 graphics processors, known as GPUs. Late Monday, Baidu released a paper claiming that the computer had been used to train machine-learning software that set a new record for recognizing images, beating a previous mark set by Google.


“Our company is now leading the race in computer intelligence,” said Ren Wu, a Baidu scientist working on the project, speaking at the Embedded Vision Summit on Tuesday. Minwa’s computational power would probably put it among the 300 most powerful computers in the world if it weren’t specialized for deep learning, said Wu. “I think this is the fastest supercomputer dedicated to deep learning,” he said. “We have great power in our hands—much greater than our competitors.”


Computing power matters in the world of deep learning, which has produced breakthroughs in speech, image, and face recognition and improved the image-search and speech-recognition services offered by Google and Baidu.


The technique is a souped-up version of an approach first established decades ago, in which data is processed by a network of artificial neurons that manage information in ways loosely inspired by biological brains. Deep learning involves using larger neural networks than before, arranged in hierarchical layers, and training them with significantly larger collections of data, such as photos, text documents, or recorded speech.


So far, bigger data sets and networks appear to always be better for this technology, said Wu. That’s one way it differs from previous machine-learning techniques, which had begun to produce diminishing returns with larger data sets. “Once you scaled your data beyond a certain point, you couldn’t see any improvement,” said Wu. “With deep learning, it just keeps going up.” Baidu says that Minwa makes it practical to create an artificial neural network with hundreds of billions of connections—hundreds of times more than any network built before.

 

A paper released Monday is intended to provide a taste of what Minwa’s extra oomph can do. It describes how the supercomputer was used to train a neural network that set a new record on a standard benchmark for image-recognition software. The ImageNet Classification Challenge, as it is called, involves training software on a collection of 1.5 million labeled images in 1,000 different categories, and then asking that software to use what it learned to label 100,000 images it has not seen before.


Software is compared on the basis of how often its top five guesses for a given image miss the correct answer. The system trained on Baidu’s new computer was wrong only 4.58 percent of the time. The previous best was 4.82 percent, reported by Google in March. One month before that, Microsoft had reported achieving 4.94 percent, becoming the first to better average human performance of 5.1 percent.


Via Dr. Stefan Gruenwald
more...
LEONARDO WILD's curator insight, May 15, 2015 11:57 AM

Question: What IS intelligence?

I guess we're still mistaken about this elusive term so many use on a daily basis—either to degrade or upgrade your status as a human being–without really knowing what it is. Now we're going to have "stupid" 'puters vs. "intelligent" ones. Ah, yet the question remains: Psychopaths, those "snakes in suits" in high places, they are intelligent, aren't they? Yes, of course! Otherwise they wouldn't have been able to get where they are (high places). Empathy is clearly not part of the equation.