Nice to see you out here Oogee...Happy New Year to u as well.

POET™ in 2016 will IMHO be picking *low-hanging* fruit and working on the very many verticals we will be able to *disrupt*.

Let me suggest this, we (POET) will support ourselves doing odd jobs (vcsel's, playing in the global sandbox with the other bigger kids) and along comes the first of many advances to mankind......the monolithic chip..... in likleyhood the soul of a true quantum device.

The $70.-dollars plus comes from the lowly scraps (low-hanging fruit) we start with.

Then off we go to the "big blue sea"

The true value to our sp and to mankind I believe will be the quantum computing device.

q

Computer scientists are only beginning to figure out how they might apply this kind of computing power. To get an idea of the brain-bending scale these machines can operate at, consider this: a quantum computer with 300 qubits working could run more calculations in the blink of an eye than there are atoms in the entire universe—and the D-Wave Two processor has 500 qubits.

What do you think POET's™ monolithic @LightSpeed Processor (not really a naming convention) would do?

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http://www.canadianbusiness.com/technology-news/quantum-computing-how-canada-is-going-to-change-the-world/

Quantum computing defies understanding in part because it’s not just insanely complicated; it also doesn’t obey any of the laws of physics we encounter in our daily lives.

Classical physics—the kind we know about courtesy of Galileo and Newton—is comparatively easy to understand because we can clearly see it working all around us: the apple falls from the tree; the earth orbits the sun; the thrown baseball follows an arc that we can predict with an equation.

But at the subatomic level, quantum mechanics takes over, and that’s when things get weird: electrons appear to be in two places at the same time; just looking at a photon changes its behaviour; particles can behave as if they’re telepathically linked, mirroring each other’s actions instantly even though they’re far apart. Much of this is still the subject of lively scientific debate. But the strangeness of the quantum world also offers some exciting possibilities.

In a traditional computer, all information is encoded as binary bits: every bit is a one or a zero. If you can shuffle enough of them around fast enough, you can solve complex equations, which has changed the way we do everything from trading stocks to simulating nuclear explosions to storing recipes.

A quantum computer instead uses quantum bits—called qubits—which are atomic-scale structures that, through a phenomenon known as “superposition,” can be both zero and one at the same time. That strange quality of quantum mechanics allows qubits to complete difficult calculations many times faster than traditional bits, which have to be one or zero, on or off, black or white.

Say you’re standing in a very large room, all the lights are off, and you have to find the only exit. If you’re a conventional computer, you would walk to the outside wall and feel along, inch by inch, until you found the door. But if you’re a quantum computer, a thousand versions of you search simultaneously; the one that finds the exit opens the door, and the other 999 simply vanish.

If you can find a way to harness that power on a chip, this approach can be used to run a massive number of complicated simulations and models much quicker than we’ve ever been able to before.

“This type of computer is not intended for surfing the Internet, but it does solve this narrow but important type of problem really, really fast,” says McGeogh, who designed the tests used on the D-Wave machine.

The ability of quantum computers to run travelling-salesperson–type problems at lightning speeds can help make more accurate predictions much faster—whether that’s figuring out how certain diseases develop, how our climate is changing or better understanding your speech to find what you’re looking for on the web.

But even the scientists in the field are limited in what they can predict. Laflamme compares it to how people in the 1950s described the then-dawning age of computers. Spoiler alert: no one predicted the iPhone.

Computer scientists are only beginning to figure out how they might apply this kind of computing power. To get an idea of the brain-bending scale these machines can operate at, consider this: a quantum computer with 300 qubits working could run more calculations in the blink of an eye than there are atoms in the entire universe—and the D-Wave Two processor has 500 qubits.

Despite the potential, quantum computing is still a hard sell for most investors, thanks to the potential 20- or 30-year timelines involved. OMERS Ventures’ David Crow was in the audience for Lazaridis’s Waterloo talk and says it’s too early for most VCs to get involved. “[Venture capital funds] tend to have a seven- to 10-year lifecycle, so a lot of it is outside the scope of a single fund,” he says. “There’s a huge amount of commercialization that needs to happen before you can start building companies on it.”

Rose says that traditional investment approach is changing. “The people who are at the vanguard of the investment community in and around San Francisco are starting to come to grips with the fact that there’s a gaping hole in the strategy that investors are using today, and are now looking at things that are disruptively world-changing, fundamental technologies that will take five to 15 years to develop and are extremely capital intensive,” he says.

Between Lazaridis’s Quantum Valley and Rose’s D-Wave, Canada has two very different but no less significant approaches to this coming revolution.

First, there is the Waterloo way: funding research through the university and using that as the fertile ground to cultivate a healthy startup ecosystem. Second is D-Wave’s approach, which is to use the company as the R&D base, tapping large-scale clients like Fortune 500 companies and governments that have the size and scale to make large up-front investments.

D-Wave has been criticized over the years by some academics who say its machines aren’t true quantum computers, but high-performance conventional computers with some quantum characteristics. That hasn’t bothered Rose, who is quick to admit the D-Wave Two is just a very, very early step on the road toward the true potential of quantum computing. But he also says he’d rather build something than split hairs with academics. D-Wave would be happy to sell you a quantum computer, today, if you have a few spare million lying around and don’t mind having a slightly sinister-looking, 10-foot-tall obsidian cube humming away in a corner, occasionally chirping. You’ll be in good company: when Google, NASA, and USRA finished kicking the tires, they banded together and bought one of their own.

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And so in May, Google, USRA and NASA announced D-Wave’s $15-million machine would take up residence at their new Quantum Artificial Intelligence Lab in Silicon Valley to look at potential breakthroughs in artificial intelligence.