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Minor update for consistency

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yangliwei
2024-02-08 16:31:22 +08:00
parent 773953e18b
commit 8ee168c310
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README.md
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@@ -23,7 +23,7 @@ Currently, the supported tensor network libraries are:
- [quimb](https://quimb.readthedocs.io/en/latest/), an easy but fast python library for ‘quantum information many-body’ calculations, focusing primarily on tensor networks. - [quimb](https://quimb.readthedocs.io/en/latest/), an easy but fast python library for ‘quantum information many-body’ calculations, focusing primarily on tensor networks.
# Sample Codes # Sample Codes
## Single Node ## Single-Node Example
The code below shows an example of how to activate the Cuquantum TensorNetwork backend of Qibo. The code below shows an example of how to activate the Cuquantum TensorNetwork backend of Qibo.
```py ```py
import numpy as np import numpy as np
@@ -86,7 +86,7 @@ computation_settings = {
} }
``` ```
## Multi-Node ## Multi-Node Example
Multi-node is enabled by setting either the MPI or NCCL enabled flag to True in the computation settings. Below shows the script to launch on 2 nodes with 2 GPUs each. $node_list contains the IP of the nodes assigned. Multi-node is enabled by setting either the MPI or NCCL enabled flag to True in the computation settings. Below shows the script to launch on 2 nodes with 2 GPUs each. $node_list contains the IP of the nodes assigned.