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corrected jaxdia usage
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tutorials-v5/miscellaneous/v5_paper-jax.md

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@@ -109,7 +109,7 @@ opt = {
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```
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```python
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with CoreOptions(default_dtype="CSR"):
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with CoreOptions(default_dtype="jaxdia"):
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# Operators for individual qubits
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sx_list, sy_list, sz_list = [], [], []
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for i in range(N):
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```
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When working with JAX you can choose the type of device / processor to be used.
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In our case, we resort to the CPU since this is a simple Jupyter Notebook.
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In our case, we will resort to the CPU since this is a simple Jupyter Notebook.
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However, when running this on your machine, you can opt for using your GPU by simpy changing the argument below.
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```python

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