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Copy file name to clipboardexpand all lines: README.md
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@@ -10,4 +10,6 @@ We are building a tight integration of Qiskit capabilities with PyTorch. One may
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Our "Hello World!" notebook involves training parameters for a 1-qubit rotation, in order to attain a target expectation value. The specified cost function is the mean squared error and the chosen torch optimiser is Adam.
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UPDATE: this project has been integrated in the Qiskit Open Source Textbook. Have a look over [there](https://qiskit.org/textbook/ch-machine-learning/machine-learning-qiskit-pytorch.html) for cleaned code and extended explanations!
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