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Comments: 205 +-   First Electronic Quantum Processor Created on Monday June 29, @11:58AM

Posted by ScuttleMonkey on Monday June 29, @11:58AM
from the baby-steps dept.
science
hardware
technology
ScienceDaily is reporting that the first rudimentary solid-state quantum processor has been created by a team led by Yale University researchers. "Working with a group of theoretical physicists led by Steven Girvin, the Eugene Higgins Professor of Physics & Applied Physics, the team manufactured two artificial atoms, or qubits ('quantum bits'). While each qubit is actually made up of a billion aluminum atoms, it acts like a single atom that can occupy two different energy states. These states are akin to the '1' and '0' or 'on' and 'off' states of regular bits employed by conventional computers. Because of the counterintuitive laws of quantum mechanics, however, scientists can effectively place qubits in a 'superposition' of multiple states at the same time, allowing for greater information storage and processing power."
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  • by TheGeniusIsOut (1282110) on Monday June 29, @12:03PM (#28515943)
    The possible applications for this technology are an exciting prospect. Handheld supercomputers, true real-time physics simulations for research and gaming, maybe even time travelling phone booths...
  • You can find the lab site here [yale.edu] with several papers freely available in pre-publication form on arxiv [yale.edu] from the researchers. I'm trying to find the "basic algorithms" the article alludes to that these rudimentary processors can perform. I thought only a handful were applicable (Shor's algorithm) to quantum computing. Anyone know?
  • Simulating? (Score:3, Informative)

    by immakiku (777365) on Monday June 29, @12:06PM (#28516001)

    While each qubit is actually made up of a billion aluminum atoms, it acts like a single atom that can occupy two different energy states.

    Does this sound like they're using real atoms to simulate qubits? Perhaps I'm misinterpretting, but it looks like it's still going to take an exponential amount of resources to "make" each additional qubit.

    • Why would it take an exponential amount of resources? One of these qubits only amounts to around 1.66 Ã-- 10e-14 percent of a mole of aluminum. For every mole of aluminum they can create 6 quadrillion qubits. I'm not sure how many qubits would be needed for a quantum computer but I'm doubting it's much more than that.

    • Re:Simulating? (Score:4, Informative)

      by dlenmn (145080) on Monday June 29, @01:11PM (#28517003) Homepage
      There's no simulation -- the large group of atoms forms one qubit. That's why this is interesting. Normally, only very small things (like one atom) exhibit quantum behavior. This system is large for something able to exhibit quantum behavior. All the parts effectively join together to act like one quantum system.
  • by Jane Q. Public (1010737) on Monday June 29, @12:10PM (#28516075)
    I am not trying to split hairs. This is actually a rather important point: they did not manufacture "two artificial atoms, or qubits". They manufactured two clusters of atoms that acted as qubits.
  • by GameGod0 (680382) on Monday June 29, @12:11PM (#28516085)
    http://www.nature.com/nature/journal/vaop/ncurrent/pdf/nature08121.pdf [nature.com]

    (For those with access to Nature through school or work...)
  • Sorry, couldn't resist.

    Seriously, I wonder if this comes to pass and we continue on the binary process forever. (IIRC, some mainframes back in the '40s and '50s used decimal processing, which was too slow then, so all switched eventually to binary.)
  • Feed 42 to it and let us know how it goes!

  • by RudeIota (1131331) on Monday June 29, @01:00PM (#28516837) Homepage

    While each qubit is actually made up of a billion aluminum atoms, it acts like a single atom that can occupy two different energy states.

    This sounds a like a bose-einstein condensate, where many atoms will act is if though they are all part of a larger, single atom. Also, it gains some pretty interesting properties, neither of which can be described exactly as solid, liquid or gas.

    The article didn't mention anything about near absolute zero temps, though.

    • by reverseengineer (580922) on Monday June 29, @02:06PM (#28517851)
      The ScienceDaily article and the /. summary seem to be confused on the experimental setup. From the Nature article, "[e]ach qubit has a split Josephson junction...." The Josephson effect is an effect where two superconductors are separated by a very thin insulating layer. A "supercurrent" composed of paired correlated electrons (Cooper pairs) can tunnel across this barrier under certain circumstances. Cooper pairs act as bosons, just as atoms do in Bose-Einstein condensates, so they have long been a focus of research for quantum computing. In this experiment, the device was a "180nm Nb film was d.c.-magnetron sputtered on the epipolished surface of an R-plane corundum wafer," meaning that the superconductor they used was niobium, and the insulator was aluminum oxide, aka corundum. They built it out of these [wikipedia.org], in other words.

      They go on to mention that the apparatus was cooled to 13 millikelvin using a helium dilution refrigerator. Now, niobium is superconductive to about 9 kelvin in the pure state (and about 23 kelvin in some alloys), so I would assume the extra effort to make it that cold has more to do with preserving the delicate electronic state of the qubits than with merely chilling the superconductors.
  • by mathimus1863 (1120437) on Monday June 29, @04:20PM (#28520061)
    I took a class on Quantum computing, and studied many specific QC algorithms, so I know a little bit about them. A lot of misunderstandings about them, so let me summarize.

    Quantum Computers are not super-computers. On a bit-for-bit (or qubit-for-qubit) scale, they're not necessarily faster than regular computers, they just process info differently. Since information is stored in a quantum "superposition" of states, as opposed to a deterministic state like regular computers, the qubits exhibit quantum interference around other qubits. Typically, your bit starts in 50% '0' and 50% '1', and thus when you measure it, you get a 50% chance of it being one or the other (and then it assumes that state). But if you don't measure, and push it through quantum circuits allowing them to interact with other qubits, you get the quantum phases to interfere and cancel out. If you are damned smart (as I realized you have to be, to design QC algorithms), you can figure out creative ways to encode your problem into qubits, and use the interference to cancel out the information you don't want, and leave the information you do want.

    For instance, some calculations will start with the 50/50 qubit above, and end with 99% '0' and 1% '1' at the end of the calculation, or vice versa, depending on the answer. Then you've got a 99% chance of getting the right answer. If you run the calculation twice, you have a 99.99% chance of measuring the correct answer.

    However, the details of these circuits which perform quantum algorithms are extremely non-intuitive to most people, even those who study it. I found it to require an amazing degree of creativity, to figure out how to combine qubits to take advantage of quantum interference constructively. But what does this get us?

    Well it turns out that quantum computers can run anything a classical computer can do, and such algorithms can be written identically if you really wanted to, but doing so gets the same results as the classical computer (i.e. same order of growth). But, the smart people who have been publishing papers about this for the past 20 years have been finding new ways to combine qubits, to take advantage of nature of certain problems (usually deep, pure-math concepts), to achieve better orders of growth than possible on a classical computer. For instance, factoring large numbers is difficult on classical computers, which is why RSA/PGP/GPG/PKI/SSL is secure. It's order of growth is e^( n^(1/3) ). It's not quite exponential, but it's still prohibitive. It turns out that Shor figured out how to get it to n^2 on a quantum computer (which is the same order of growth as decrypting with the private key on a classical computer!). Strangely, trying to guess someone's encryption key, normally O(n) on classical computers (where n is the number of possible keys encryption keys) it's only O(sqrt(n)) on QCs. Weird (but sqrt(n) is still usually too big).

    There's a vast number of other problems for which efficient quantum algorithms have been found. Unfortunately, a lot of these problems aren't particularly useful in real life (besides to the curious pure-mathematician). A lot of them are better, but not phenomenal. Like verifying that two sparse matrices were mulitplied correctly has order of growth n^(7/3) on a classical computer, n^(5/3) on a quantum computer. You can find a pretty extensive list by googling "quantum algorithm zoo."

    Unfortunately [for humanity], there is no evidence yet that quantum computers will solve NP-complete problems efficiently. Most likely, they won't. So don't get your hopes up about solving the traveling salesmen problem any time soon. But there is still a lot of cool stuff we can do with them. In fact, the theory is so far ahead of the technology, that we're anxiously waiting for breakthroughs like this, so we can start plugging problems through known algorithms.
    • Soon a PC with a Quantum Processor, Holographic Memory and optical storage.

      Running Duke Nukem Forever on a three dimensional console inside your flying car as it pilots itself to your workplace ...

    • Re: (Score:3, Informative)

      Not quite yet. FTFA:

      Next, the team will work to increase the amount of time the qubits maintain their quantum states so they can run more complex algorithms. They will also work to connect more qubits to the quantum bus. The processing power increases exponentially with each qubit added, Schoelkopf said, so the potential for more advanced quantum computing is enormous. But he cautions it will still be some time before quantum computers are being used to solve complex problems. "We're still far away from bu

    • Electronic systems are much easier to manipulate. Just think about your current computer. We have a whole toolbox of knowledge to deal with these.
    • by smallfries (601545) on Monday June 29, @01:30PM (#28517319) Homepage

      Yes the first. The Dwave guys aren't building quantum computers. Their system lacks entanglement between the qubits, which is essential to running quantum algorithms. They have also been less than forthcoming about the coherence in their system.

Duct tape is like the force. It has a light side, and a dark side, and it holds the universe together ... -- Carl Zwanzig