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When the world's first digital computer was completed in 1946 it opened up new vast new worlds of possibility. Still, early computers were only used for limited applications because they could only be programmed in machine code. It took so long to set up problems that they were only practical for massive calculations.
That all changed when John Backus created the first programming language, FORTRAN, at IBM in 1957. For the first time, real world problems could be quickly and efficiently transformed into machine language, which made them far more practical and useful. In the 1960's, the market for computers soared.
Like early digital computers, quantum computing offers the possibility of technology millions of times more powerful than current systems, but the key to success will be translating real world problems into quantum language. At D-Wave, which is already producing a commercial version, that process is already underway and it is revealing massive potential.
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... while these are major advances, our newfound knowledge has also revealed our limitations. Unlocking the secrets of DNA exposed how little we know about the proteins it codes for, just as early successes with targeted therapies have shown us how much more we can achieve by working with complete genomes rather than just isolated markers in our chromosomes.
Unfortunately, conventional computers aren't powerful enough to perform these tasks well, but early indications are that quantum computers can close the gap. Scientists at Harvard have found that quantum computers will allow us to map proteins much as we do genes today. D-Wave has also formed a partnership with DNA-SEQ to use its quantum computers to explore how to analyze entire genomes to create more effective therapies.
Mapping the human genome was a triumph of technology as much as it was an achievement in biology. It was, essentially, more powerful computers that allowed us to analyze human DNA on a massive scale. However, if we are to advance further, quantum systems will likely be a big part of the answer.
Take a look on the Internet and you can find hilarious lists of autocorrect mangling phrases, like changing "I don't" to "idiot" in a text to your mom. These are embarrassing mistakes, but they usually don't cause too much trouble. However, in other applications, like picking a terrorist out of a crowd through facial recognition, the stakes are far higher.
These problems arise because of how machine learning algorithms are designed and trained. Like our brains, they process different aspects of an experience, such as colors and shapes and integrate them into larger concepts, such as a human face, a type of hairstyle or the signature style of a popular designer.
However, in order for this process to work well, the more elemental aspects need to be correctly identified or they will pass on bad information to the higher levels of the system. Because of the limited capacity of conventional computers, data is lost in the training process and things are not recognized correctly, resulting in insults to your mom and terrorists misidentified.
[...] In 1968, just a decade after John Backus introduced FORTRAN, Douglas Engelbart presented the results of his project to "augment human intellect" and it turned out to be so consequential that it is now called The Mother of All Demos. Until that point computers were, much like quantum technology today, merely computational devices that few people ever saw.
[...] I'm not implying that we will all have quantum computers in our homes, but we will likely be able to access them in the cloud and they will help us solve problems that seem impossible today. D-Wave's Hilton told me "the quantum computing revolution may be even more profound than the digital computing revolution a half century ago and it will happen much faster."
(Score: 2) by HiThere on Saturday October 22 2016, @06:49PM
Quantum computing is theoretically faster than standard computing for a limited set of uses. And if Fujitsu can succeed in their latest attempt, not even as many of those as was once thought. The Fujitsu attempt, while also specialized, claims to scale well, and address those problems that can be posed as problems of simulated annealing, which was one large group of problems where quantum computing was supposed to have an advantage.
Actually, the benefits of the Fujitsu approach seem to boil down to 1) stable for long periods of time (less state decay), 2) cheaper, and 3) room temperature...no need to fiddle around with liquid helium, or even nitrogen.
That said, the Fujitsu approach is still in pre-beta, while there actually ARE existing quantum computers, but they are so expensive to operate and buy that I expect Fujitsu's approach to dominate in the area of simulated annealing...IF they can make it work.
There will still be some problems that can only be addressed well with quantum computers, but it's not at all clear how many. Secure communication might be one of them, but I suspect that there will be encryption approaches that don't yield to quantum computers ... and I mean besides one-time tables.
Javascript is what you use to allow unknown third parties to run software you have no idea about on your computer.
(Score: 1, Informative) by Anonymous Coward on Sunday October 23 2016, @02:02AM