For questions about how quantum computing could improve or affect machine learning i.e. quantum machine learning. Questions about classical machine learning belong on another site, such as Stack Overflow, Cross Validated or Artificial Intelligence SE.
Questions tagged [machine-learning]
161 questions
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How to study quantum machine learning?
I want to make my quantum machine learning algorithms. As far as I understand I must learn: basics of quantum physics, quantum computing (and algorithms), classical machine learning, quantum information; anything else?
And from where would you…
Ualikhan
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How does the formula for the parameter shift rule change if we measure in the $X$ basis?
I'm studying the parameter shift rule and got stuck when improving an example with Pauli operators in https://arxiv.org/abs/1803.00745.
This paper shows up $\partial_\mu f=\frac{1}{2}(f(\mu+\frac{\pi}{2})-f(\mu-\frac{\pi}{2}))
$ when measuring in…
Monad
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Quantum Noise Dataset
Does anyone in here know of an open source source for finding noisy data from quantum gates. I am interested in playing around with in the same way people play around with MNIST.
I know it's a long shot, but I hope to hear back from someone!
Enrique Segura
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Prove the parameter shift rule in case of generator is Pauli matrix
I'm studying the parameter shift rule and got stuck when doing an example with Pauli operators in https://arxiv.org/abs/1803.00745.
With $f=e^{-i\mu\frac{\sigma_i}{2}}$, $\partial_\mu f=\frac{(-i\sigma_i)}{2}f=(-\frac{1}{2}if)\sigma_i$ …
Monad
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Compatibility of TensorFlow Quantum on Windows
I created a Jupyter file around two years ago that relies on the following packages:
However, it seems that Google has discontinued support for TensorFlow Quantum on Windows. This poses a problem as my file contains an important project that I need…
ricklondon
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What are the advantages of angle embedding over amplitude embedding?
With $n$ qubits, $2^n$ features can be encoded with amplitude embedding, while only $n$ with angle embedding. So, is there any reason to use angle embedding?
salcc
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Quantum machine learning: only a boost to computation or something more?
I'm new in the area and I'm quite curious.
What are the main advantages of quantum machine learning over "classical" machine learning (from sklearn library, for example)?
Is just only a boost to the computational process or it could be a way for…
Daniele
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How to get the solution and prediction of nuclear ridge regression?
\begin{equation}
\label{eqs.1}
\tilde{y}=\sum_{m=1}^{M}\alpha_{m}\kappa(x^{(m)},\tilde{x}) (1)
\end{equation}
where $\kappa(x^{(m)},\tilde{x})$defines the similarity between data and can be chosen beforehand.The…
user15225
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