<p>Lets suppose your data set includes locations in several dimensions and the kind of entity which is the class of the data set, is there other kind of information you need to add (such as times, observer data, etc.. ) to the data set in order to be able to include quantum calculation in the algorithm that builds the model and predicts results?</p>

<p>Which are the main changes all or some of the algorithms need?
Are there examples of implementations of this algorithms in the web, is so where are them?</p>

CC BY-SA 3.0
2011-11-11T18:10:23.573Z
This question is very open-ended and I'm not sure where to start, but first off, why do you want to introduce "quantum physics" into a machine learning task ? Is it something along the lines of how Grover's search algorithm runs in sublinear time ?
Suresh Venkat
CC BY-SA 3.0
2011-11-11T21:58:06.523Z
Did you google "quantum learning algorithms"?
Dave Clarke
CC BY-SA 3.0
2011-11-12T05:51:45.180Z
Just a wild guess here, but I do not think she means quantum algorithms. It sounds more like doing machine learning on particle data...
Sasho Nikolov
CC BY-SA 3.0
2011-11-13T16:43:13.147Z
If the data is all classical and the time is unbounded, then the answer to your title question is trivially no, simply because any quantum computation could have been simulated by a classical Turing machine, albeit in exponential time.
Joe Fitzsimons
<quantum-computing><machine-learning>
Is it possible to add quantum physics theory to traditional machine learning algorithms to get more accurate results
mariana soffer
# Is it possible to add quantum physics theory to traditional machine learning algorithms to get more accurate results

(Asked by: username_0 on 2011-11-11)

Lets suppose your data set includes locations in several dimensions and the kind of entity which is the class of the data set, is there other kind of information you need to add (such as times, observer data, etc.. ) to the data set in order to be able to include quantum calculation in the algorithm that builds the model and predicts results?

Which are the main changes all or some of the algorithms need?
Are there examples of implementations of this algorithms in the web, is so where are them?

**Tags:** quantum-computing, machine-learning

> **Comments:**
> **username_1**: This question is very open-ended and I'm not sure where to start, but first off, why do you want to introduce "quantum physics" into a machine learning task ? Is it something along the lines of how Grover's search algorithm runs in sublinear time ?  
> **username_2**: Did you google "quantum learning algorithms"?  
> **username_3**: Just a wild guess here, but I do not think she means quantum algorithms. It sounds more like doing machine learning on particle data...  
> **username_4**: If the data is all classical and the time is unbounded, then the answer to your title question is trivially no, simply because any quantum computation could have been simulated by a classical Turing machine, albeit in exponential time.  

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