Hot off the press — the latest D-Wave wafer of quantum processors and TIME cover story

Hot off the press — the latest D-Wave wafer of quantum processors and TIME cover story
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Hot off the press — the latest D-Wave wafer of quantum processors and TIME cover story

Hot off the press — the latest D-Wave wafer of quantum processors and TIME cover story
– I took this photo of the latest hot lot of processor chips of various sizes at the spook shop summit (InQTel CEO Summit). Pretty shiny bling.

I am in the D-Wave board meeting now, and we just got a peek of next week’s TIME Magazine cover (below). And it made the Charlie Rose show.

Here are some excerpts:

"The Quantum Quest for a Revolutionary Computer

The D-Wave Two is an unusual computer, and D-Wave is an unusual company. It’s small, just 114 people, and its location puts it well outside the swim of Silicon Valley. But its investors include the storied Menlo Park, Calif., venture-capital firm Draper Fisher Jurvetson, which funded Skype and Tesla Motors. It’s also backed by famously prescient Amazon founder Jeff Bezos and an outfit called In-Q-Tel, better known as the high-tech investment arm of the CIA. Likewise, D-Wave has very few customers, but they’re blue-chip: they include the defense contractor Lockheed Martin; a computing lab that’s hosted by NASA and largely funded by Google; and a U.S. intelligence agency that D-Wave executives decline to name.

The reason D-Wave has so few customers is that it makes a new type of computer called a quantum computer that’s so radical and strange, people are still trying to figure out what it’s for and how to use it. It could represent an enormous new source of computing power–it has the potential to solve problems that would take conventional computers centuries, with revolutionary consequences for fields ranging from cryptography to nanotechnology, pharmaceuticals to artificial intelligence.

That’s the theory, anyway. Some critics, many of them bearing Ph.D.s and significant academic reputations, think D-Wave’s machines aren’t quantum computers at all. But D-Wave’s customers buy them anyway, for around $10 million a pop, because if they’re the real deal they could be the biggest leap forward since the invention of the microprocessor. …

Physicist David Deutsch once described quantum computing as "the first technology that allows useful tasks to be performed in collaboration between parallel universes." Not only is this excitingly weird, it’s also incredibly useful. If a single quantum bit (or as they’re inevitably called, qubits, pronounced cubits) can be in two states at the same time, it can perform two calculations at the same time. Two quantum bits could perform four simultaneous calculations; three quantum bits could perform eight; and so on. The power grows exponentially.

The supercooled niobium chip at the heart of the D-Wave Two has 512 qubits and therefore could in theory perform 2^512 operations simultaneously. That’s more calculations than there are atoms in the universe, by many orders of magnitude. "This is not just a quantitative change," says Colin Williams, D-Wave’s director of business development and strategic partnerships, who has a Ph.D. in artificial intelligence and once worked as Stephen Hawking’s research assistant at Cambridge. "The kind of physical effects that our machine has access to are simply not available to supercomputers, no matter how big you make them. We’re tapping into the fabric of reality in a fundamentally new way, to make a kind of computer that the world has never seen."

Naturally, a lot of people want one. This is the age of Big Data, and we’re burying ourselves in information– search queries, genomes, credit-card purchases, phone records, retail transactions, social media, geological surveys, climate data, surveillance videos, movie recommendations–and D-Wave just happens to be selling a very shiny new shovel. "Who knows what hedge-fund managers would do with one of these and the black-swan event that that might entail?" says Steve Jurvetson, one of the managing directors of Draper Fisher Jurvetson. "For many of the computational traders, it’s an arms race."

One of the documents leaked by Edward Snowden, published last month, revealed that the NSA has an $80 million quantum-computing project suggestively code-named Penetrating Hard Targets. Here’s why: much of the encryption used online is based on the fact that it can take conventional computers years to find the factors of a number that is the product of two large primes. A quantum computer could do it so fast that it would render a lot of encryption obsolete overnight. You can see why the NSA would take an interest. …

For its first five years, the company existed as a think tank focused on research. Draper Fisher Jurvetson got onboard in 2003, viewing the business as a very sexy but very long shot. "I would put it in the same bucket as SpaceX and Tesla Motors," Jurvetson says, "where even the CEO Elon Musk will tell you that failure was the most likely outcome." By then Rose was ready to go from thinking about quantum computers to trying to build them–"we switched from a patent, IP, science aggregator to an engineering company," he says. Rose wasn’t interested in expensive, fragile laboratory experiments; he wanted to build machines big enough to handle significant computing tasks and cheap and robust enough to be manufactured commercially. With that in mind, he and his colleagues made an important and still controversial decision.

Up until then, most quantum computers followed something called the gate-model approach, which is roughly analogous to the way conventional computers work, if you substitute qubits for transistors. But one of the things Rose had figured out in those early years was that building a gate-model quantum computer of any useful size just wasn’t going to be feasible anytime soon. …

Adiabatic quantum computing may be technically simpler than the gate-model kind, but it comes with trade-offs. An adiabatic quantum computer can really solve only one class of problems, called discrete combinatorial optimization problems, which involve finding the best–the shortest, or the fastest, or the cheapest, or the most efficient–way of doing a given task.

This is great if you have a really hard discrete combinatorial optimization problem to solve. Not everybody does. But once you start looking for optimization problems, or at least problems that can be twisted around to look like optimization problems, you find them all over the place: in software design, tumor treatments, logistical planning, the stock market, airline schedules, the search for Earth-like planets in other solar systems, and in particular in machine learning.

Google and NASA, along with the Universities Space Research Association, jointly run something called the Quantum Artificial Intelligence Laboratory, or QuAIL, based at NASA Ames, which is the proud owner of a D-Wave Two. "If you’re trying to do planning and scheduling for how you navigate the Curiosity rover on Mars or how you schedule the activities of astronauts on the station, these are clearly problems where a quantum computer–a computer that can optimally solve optimization problems–would be useful," says Rupak Biswas, deputy director of the Exploration Technology Directorate at NASA Ames. Google has been using its D-Wave to, among other things, write software that helps Google Glass tell the difference between when you’re blinking and when you’re winking.

Lockheed Martin turned out to have some optimization problems too. It produces a colossal amount of computer code, all of which has to be verified and validated for all possible scenarios, lest your F-35 spontaneously decide to reboot itself in midair. "It’s very difficult to exhaustively test all of the possible conditions that can occur in the life of a system," says Ray Johnson, Lockheed Martin’s chief technology officer. "Because of the ability to handle multiple conditions at one time through superposition, you’re able to much more rapidly–orders of magnitude more rapidly–exhaustively test the conditions in that software." The company re-upped for a D-Wave Two last year.

Another challenge Rose and company face is that there is a small but nonzero number of academic physicists and computer scientists who think that they are partly or completely full of sh-t. Ever since D-Wave’s first demo in 2007, snide humor, polite skepticism, impolite skepticism and outright debunkings have been lobbed at the company from any number of ivory towers. "There are many who in Round 1 of this started trash-talking D-Wave before they’d ever met the company," Jurvetson says. "Just the mere notion that someone is going to be building and shipping a quantum computer–they said, ‘They are lying, and it’s smoke and mirrors.’"

Seven years and many demos and papers later, the company isn’t any less controversial. Any blog post or news story about D-Wave instantly grows a shaggy beard of vehement comments, both pro- and anti-. …

But where quantum computing is concerned, there always seems to be room for disagreement. Hartmut Neven, the director of engineering who runs Google’s quantum-computing project, argues that the tests weren’t a failure at all–that in one class of problem, the D-Wave Two outperformed the classical computers in a way that suggests quantum effects were in play. "There you see essentially what we were after," he says. "There you see an exponentially widening gap between simulated annealing and quantum annealing … That’s great news, but so far nobody has paid attention to it." Meanwhile, two other papers published in January make the case that a) D-Wave’s chip does demonstrate entanglement and b) the test used the wrong kind of problem and was therefore meaningless anyway. For now pretty much everybody at least agrees that it’s impressive that a chip as radically new as D-Wave’s could even achieve parity with conventional hardware.

The attitude in D-Wave’s C-suite toward all this back-and-forth is, unsurprisingly, dismissive. "The people that really understand what we’re doing aren’t skeptical," says Brownell. Rose is equally calm about it; all that wrestling must have left him with a thick skin. "Unfortunately," he says, "like all discourse on the Internet, it tends to be driven by a small number of people that are both vocal and not necessarily the most informed." He’s content to let the products prove themselves, or not. "It’s fine," he says. "It’s good. Science progresses by rocking the ship. Things like this are a necessary component of forward progress."

Are D-Wave’s machines quantum computers?

For now the answer is itself suspended, aptly enough, in a state of superposition, somewhere between yes and no. If the machines can do anything like what D-Wave is predicting, they won’t leave many fields untouched. "I think we’ll look back on the first time a quantum computer outperformed classical computing as a historic milestone," Brownell says. "It’s a little grand, but we’re kind of like Intel and Microsoft in 1977, at the dawn of a new computing era."

(by jurvetson on 2014-02-05 12:09:37 )

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13 thoughts on “Hot off the press — the latest D-Wave wafer of quantum processors and TIME cover story

  1. There has been a rich discussion over on the parallel Facebook post, especially on AI.

    Earlier, I took a video of Google’s first quantum computer.

    [http://www.flickr.com/photos/gi] – do you mean the physical interface (a bundle of wires feed into shift registers to magnetically set up the coupling strengths between superconducting niobium rings) or the programming interface? If the later, think of the problem being reconstituted as a graph. And here is a software tutorial from D-Wave.

  2. What I worry about is that in a generation an MIT graduate might only find work trimming the toenails of an elderly tech billionaire.

  3. The early stages of Multivac… 🙂 Everything in life is an optimization problem, it’s easy to see this technology will touch and turn around everything that can get a grip on it. A possible entry candidate for what the singularity will be like in real life.

    I wonder about the interface… how does the computer exchange information with the surrounding system? How does it feed on data and how does it pour the result.

    A solution given by a quantum computer pretty much looks like a decision, because solving optimization problems is pretty close or the same to what we understand for intelligence. I imagine the computer creating heuristics all the time to optimize its own optimization-problem solving… I imagine creating softwares to prevent this so that the computer keeps "creative" and computationally "fit"… I imagine the computer bypassing the software imposed limits… and at some point if put your imagination on fast forward you reach a Singularity.

    Interface… I’d like to learn more about D-Wave’s interface.

    Mind-blowing ride to be on, Steve! Congratulation to all the team.

  4. I found this piece which I think relates mucho, and for what I am reading so far, it looks promising:
    http://www.vetta.org/documents/Machine_Super_Intelligence.pdf

    "The goal of this thesis is to explore some of the open issues surrounding
    universal artificial intelligence. In particular: In which settings the behaviour
    of universal agents converges to optimal, the way in which AIXI theory relates
    to the concept and definition of intelligence, the limitations that computable
    agents face when trying to approximate theoretical super intelligent agents
    such as AIXI, and finally some of the big picture implications of super intelligent
    machines and whether this is a topic that deserves greater study."

  5. Thanks for the pointer to the post in FB. I will read it in full. I see it pertains to my mental whereabouts, sí. Thanks 🙂

    I am more or less posing the same question Jitze Couperus makes in FB on the making of the questions and how the system will deliver the answers. The code in which will be built / the software interface. Anyway, I imagined it too having to do with the hardware. Like: what is the result going to be shown? A printable graph, punched cards? 😛

    I was thinking: Will the computer be treated and built to "behave like" (have the profile of) a counselor, an analyst, an oracle, an computer which just "has an opinion" on the subject asked? All of the above?

    Maybe it’s good that you may be able to switch in which style you want to interact with the computer? Like when you ask someone for "objective" analysis on a problem and not their opinion (or viceversa).

    We know that a contingent problem like these computers would be prepared to give answers to, there are many ways to resolve them. In humans and living organism, there are many factors implied in the process. Some of those refer to what we call character. A person chooses one possible solution over another not out of evaluation (degree of understanding) but out of taste, preference, character, etc. So, how the prioritization of results will be addressed… all that depends in great measure on the interface and the interface depends in great measure on how the computer will be used like.

    Great the link to the software tutorial, because we have to rethink or think anew how to code such a machine, given all that I mention and what we will ask it to do.

    How to code something to be able to be more intelligent than you are? How to code something to do parallel computing, when our way of coding is naturally sequential?

    My kind of stuff to think about. SWEET! 😀

  6. 200 or 300mm disk? MEMC out of St. Louis did some innovative things with wafer development. Interesting organization. Your write up is quite good; sounds like D-Wave will be a winner.

  7. Its interesting that the main substance of the chip is made from niobium. I live in the city that is by far the biggest niobium producer in the world, Araxá, Minas Gerais, Brazil.

    Thanks for sharing your knowledgement, Mr. Jurvetson!

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