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🍕 cleanup readme, PoC: K8s Quantum Tensorflow Machine Learning deployment in K8s

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# Tensorflow Quantum + K8s
# PoC: K8s Quantum Tensorflow Machine Learning deployment in K8s
<br>
## Theoretical Introduction
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---
<br>
## Steps:
### Prepare a quantum dataset
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- After evaluating the cost function, the free parameters in the pipeline should be updated in a direction expected to decrease the cost.
- This is most commonly performed via gradient descent.
<br>
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* [TensorFlow Quantum](https://github.com/tensorflow/quantum/blob/master/docs/install.md).
<br>
----
### References