4 ms·

I don't mean no one else won't have or rent any, sure they will, there are a lot projects that will need it, we people won't have any. If we look at the histor

I don't mean no one else won't have or rent any, sure they will, there are a lot projects that will need it, we people won't have any. If we look at the history of computing, then yes, one could be so pessimistic, but would it be really true? If there will be a breakthrough in the QC, then there will be sudden economic motivation for people (companies) to use quantum computers. This will generate the need for people who could work with such computers. This will again generate motivation for universities to train such people and the need to access quantum computers. I think that this will happen much much faster than it happened with the classical computing. Of course I also believe that there would be no personal QC any time soon if this is what you had in mind. Edit: I also do not understand why you are down voted. I think that it is an important perspective.

TheOtherHobbes 11y ago
Not a downvoter, but I think there's a practical limit to how useful the data collected by Google is - and the company is probably close to that limit already. I'm not sure QC can change that. The only way to get more value would be total 24/7 Orwellian surveillance, and I don't think that's going to be a popular option. QC for crypto is a no-brainer. QC for anything else, including data mining/ML, is a much fuzzier prospect. I'm not sure anyone really understands what the practical applications could be, never mind how to use QC to make them possible. Any suggestion that you can take a warehouse full of web logs and tracking stats, give it a quantum shake, and have a few million pre-qualified addicted customers fall out is likely nonsense.
- eveningcoffee 11y ago
  QC for crypto is a no-brainer. QC for anything else, including data mining/ML Problems in ML can be mostly proposed as an optimization task and if QC would works out, ML would be likely its main application. It would likely make an huge difference in solving a classification problems as you could train your ML model with much more data much faster. I t would also make the clustering problem much faster too as it also can be expressed as an optimization problem. Also there are many other optimization problems that would benefit a lot from the speed up (regardless if it is huge constant speed up or an asymptotic one).

TheOtherHobbes 11y ago

Not a downvoter, but I think there's a practical limit to how useful the data collected by Google is - and the company is probably close to that limit already. I'm not sure QC can change that. The only way to get more value would be total 24/7 Orwellian surveillance, and I don't think that's going to be a popular option. QC for crypto is a no-brainer. QC for anything else, including data mining/ML, is a much fuzzier prospect. I'm not sure anyone really understands what the practical applications could be, never mind how to use QC to make them possible. Any suggestion that you can take a warehouse full of web logs and tracking stats, give it a quantum shake, and have a few million pre-qualified addicted customers fall out is likely nonsense.

eveningcoffee 11y ago
QC for crypto is a no-brainer. QC for anything else, including data mining/ML Problems in ML can be mostly proposed as an optimization task and if QC would works out, ML would be likely its main application. It would likely make an huge difference in solving a classification problems as you could train your ML model with much more data much faster. I t would also make the clustering problem much faster too as it also can be expressed as an optimization problem. Also there are many other optimization problems that would benefit a lot from the speed up (regardless if it is huge constant speed up or an asymptotic one).