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Venture Capitalist Explains How Quantum Computers Harness Parallel Universes

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Giulio Prisco

Giulio Prisco

Giulio Prisco is a freelance writer specialized in science, technology, business and future studies.


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Venture Capitalist Explains How Quantum Computers Harness Parallel Universes

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This article was posted on Tuesday, 14:58, UTC.

Recently quantum computing company D-Wave Systems announced that it had broken the 1000 qubit barrier – an important breakthrough, according to experts who speculate on the really weird physics behind quantum computing.

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Quantum computers encode information in quantum bits, or qubits, which can be in a quantum superposition of zero and one states, and therefore they can process information in ways that have no equivalent in classical computing by exploiting subtle quantum phenomena such as quantum entanglement.

Computing With Parallel Universes

D-WaveIn fact, the exotic and really weird fringes of fundamental quantum physics play a role of growing importance in practical applications. In a short video released in January before the recent D-Wave announcement, venture capitalist Steve Jurvetson, a Managing Director of Draper Fisher Jurvetson who sits on the D-Wave Board of Directors, explains in simple terms how quantum computers can be so efficient: they harness the computing power of a huge number of parallel universes.

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First introduced in 1957 by theoretical physicist Hugh Everett, the Many-Worlds Interpretation (MWI) of quantum physics says that the weird and counter-intuitive quantum superpositions extend across parallel universes. A qubit in a quantum superposition of zero and one states exists in two parallel universes. Similarly, two qubits require four parallel universes, and so forth. Doing the math, it’s easy to see that a system of 1000 qubits spans a huge number of parallel universes.

Jurvetson notes that Google bought the first D-Wave quantum computers, and Google researchers consider quantum computing as a path to Artificial Intelligence (AI), with first practical applications to image recognition, machine learning and deep learning. Then he moves on to explain, sort of, how quantum computers work.

The only physical explanation of how quantum computing works is that it uses the computational resources of parallel universes, says Jurvetson in the video. This interpretation is often mentioned by science writers, but it’s mostly ignored by those professional scientists who are afraid to of losing reputation by showing too much imagination. Venture capitalists see nothing wrong with imagination, if they can use it to make more money. Of course, imagination is good, but quantum physics is counter-intuitive and “visual” explanations should be taken with caution.

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A Moore’s Law On Top of Moore’s Law

Since the number of parallel universes whose computing power is harnessed by a quantum computer increases exponentially with the number of qubits, a quantum computer with a few thousands of qubits could have a computing power greater than all existing computers combined, and adding even more qubits could result in a machine with more computational power than the entire universe.

Quantum Computing Performance

If quantum computers keep doubling the number of qubits every few years, Moore’s Law – the observed doubling in performance of computer systems every two years – would become even faster. “It’s a Moore’s Law on top of Moore’s Law,” says Jurvetson commenting the image above, titled “Rose’s Law” after D-Wave’s founder and CTO Geordie Rose.

But also the practical difficulty of building quantum computers increases exponentially with the number of qubits, so there is the possibility that quantum computing research might run into a barrier. Jurvetson spaaks of “a 10 percent chance that it doesn’t hit some roadblock.”

Images from Steve Jurvetson, D-Wave and Wikimedia Commons.

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Giulio Prisco

Giulio Prisco

http://giulioprisco.com/

Giulio Prisco is a freelance writer specialized in science, technology, business and future studies.

Comments
  • user

    AUTHOR Orchideric

    Posted on 8:06 pm July 7, 2015.

    So, in other words, 90% chance it WILL “hit some kind of roadblock”.
    But interesting nonetheless.

    • user

      AUTHOR Giulio Prisco

      Posted on 6:35 am July 8, 2015.

      The fact that the practical difficulty of building a quantum computer increases exponentially with the number of qubits is a roadblock in itself – at some point the curve becomes practically vertical. But the interesting question is how far we can go before it becomes practically impossible to go further.

      Another problem is software – at this moment quantum computing is only suitable for certain very specific applications, and the challenge is how to extend its application scope.

      • user

        AUTHOR Matthew Paul Chapdelaine

        Posted on 12:05 am July 21, 2015.

        “how far we can go before it becomes practically impossible to go further.”

        I’ll bet they said the same thing about technology back in the 1700’s. There are always breakthroughs. History has shown that. I wouldn’t start worrying about a world where we hit a ceiling until our little human civilization goes type III galactic.

  • user

    AUTHOR Brad Arnold

    Posted on 11:10 am July 8, 2015.

    What we need now is talented programmers to harness the power of the D-Wave. Cognitive computing directly via the D-Wave is better than optimizing AI algorithms with the D-Wave for use on conventional computer processors. Mark my words: the Singularity is coming faster than the experts think.

    • user

      AUTHOR Giulio Prisco

      Posted on 4:29 pm July 8, 2015.

      But slower that the enthusiasts think, in my opinion. Halfway between.

  • user

    AUTHOR Lish Lash

    Posted on 5:21 pm July 8, 2015.

    “It gets pretty weird pretty quickly.” Ha ha, go go fast talking Venture Conman, best Tony Stark impressionist yet.

  • user

    AUTHOR Benjamin Philips

    Posted on 7:39 pm July 8, 2015.

    “…but it’s mostly ignored by those professional scientists who are afraid to of losing reputation by showing too much imagination. Venture capitalists see nothing wrong with imagination…” So you’re saying we should thank VCs for all that scientific innovation, including quantum computing. What parallel universe are YOU living in?

    • user

      AUTHOR Giulio Prisco

      Posted on 6:46 am July 9, 2015.

      I am saying that VCs have also a role to play. The sad truth is that, in today’s sedate world, scientists and researchers know that their career will stagnate (or worse) if they even mention imaginative ideas. Especially young researchers with families to feed learn to shut up, or else. Yes, I wish I lived in a parallel universe where imaginative science is respected by the (parallel) establishment.

      • user

        AUTHOR btcusury

        Posted on 12:04 pm July 14, 2015.

        In “today’s sedate world”?

        “A new scientific truth does not triumph by convincing its opponents and making them see the light, but rather because its opponents eventually die, and a new generation grows up that is familiar with it.” – Max Planck, 1948

        • user

          AUTHOR Giulio Prisco

          Posted on 1:36 pm July 15, 2015.

          Exactly. The problems is that some “bureaucrats of science” don’t move away fast enough. I don’t wish anyone to die, but perhaps retirement in a tropical paradise would be a win-win deal. 😉

  • user

    AUTHOR Optimist911

    Posted on 11:29 pm August 18, 2015.

    “Showing too much imagination” sounds like a good euphemism for “making crazy science-fiction claims.” Is there yet a definitive answer as to whether D-Wave’s system is actually a quantum computer, even in some weak sense? As I gather, classical algorithms perform just as well even on the very specific problem D-Wave was designed to solve. 1000 qubits on a real quantum computer would start to threaten RSA, but D-Wave doesn’t do factoring. I guess unlike bits, not all qubits are equal or even mean the same thing. The D-Wave system is a bit reminiscent of those crazy analog or electrical machines that engineers are given as puzzles to figure out why they don’t work in practice.

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