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```
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## Using Tesseract with Sinter
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Tesseract can be easily integrated into [Sinter](https://github.com/quantumlib/Sinter) workflows. Sinter is a tool for running and organizing quantum error correction simulations. The `tesseract_sinter_compat` module provides the necessary interface.
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Tesseract can be easily integrated into [Sinter](https://github.com/quantumlib/Stim/tree/main/glue/sample) workflows. Sinter is a tool for running and organizing quantum error correction simulations.
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Here's an example of how to use Tesseract as a decoder for multiple Sinter tasks:
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```python
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import stim
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import sinter
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from tesseract_decoder importtesseract_sinter_compat
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from tesseract_decoder importmake_tesseract_sinter_decoders_dict
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# Define a list of Sinter task(s) with different circuits/decoders.
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tasks = []
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# These are the sensible defaults given by tesseract_module.make_tesseract_sinter_decoders_dict().
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# These are the sensible defaults given by make_tesseract_sinter_decoders_dict().
This example runs simulations for a repetition code with different distances [3, 5, 7] with different Tesseract default decoders. Sinter efficiently manages the execution of these tasks, and Tesseract is used for decoding. For more usage examples, see the tests in `src/py/tesseract_sinter_compat_test.py`.
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This example runs simulations for a repetition code with different distances [3, 5, 7] with different Tesseract default decoders.
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Sinter can also be used at the command line. Here is an example of this using Tesseract:
Sinter efficiently manages the execution of these tasks, and Tesseract is used for decoding. For more usage examples, see the tests in `src/py/tesseract_sinter_compat_test.py`.
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## Good Starting Points for Tesseract Configurations:
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The [Tesseract paper](https://arxiv.org/pdf/2503.10988) recommends two setup for starting your exploration with tesseract:
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