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Review RFC for Probabilistic Error Amplification technique (#2550)
* Create notebook with technique workflow * Create pea.py RFC ready for review * Revert "Create pea.py" This reverts commit d6c1cfb. * Update readme and RFC list * Delete prob_error_amp.ipynb * Clean up README.md
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CONTRIBUTING.md

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### List of accepted RFCs
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This is a list of accepted request-for-comments (RFC) documents by date of creation (reverse chronological order):
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- [Probabilistic Error Amplification RFC](https://docs.google.com/document/d/1l-74EFdMA0CSFUpHjqCyQYb3ZKCmY77seB1_mOZo5Co/edit?usp=sharing) by Misty Wahl (@Misty-W) Dec 20, 2024
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- [Layerwise Richardson Extrapolation RFC](https://docs.google.com/document/d/1oFRl4wMGMtn57V0c_1egaHh0WUUAbtgW-U_QxNL9_kY/edit?usp=sharing) by Purva Thakre (@purva-thakre) and Vincent Russo (@vprusso) Apr 24, 2024
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- [Robust Shadow Estimation](https://docs.google.com/document/d/1B5FnqQDvoRYap5fGPqzcbp-RXIrUFjbBcLiWIUrLmuA) by Min Li (@Min-Li) Jun 16, 2023
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- [Error Mitigation by Subspace Expansion](https://docs.google.com/document/d/1JyQAwiw8BRT_oucZ6tQv0id6UhSdd3df1mNSPpOvu1I) by Ammar Jahin, Dariel Mok , Preksha Naik, Abdulrahman Sahmoud (@bubakazouba) Apr 28, 2023

README.md

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| Quantum Subspace Expansion | [QSE](https://mitiq.readthedocs.io/en/stable/guide/qse.html) | [`mitiq.qse`](https://github.com/unitaryfund/mitiq/tree/main/mitiq/qse) | [1903.05786](https://arxiv.org/abs/1903.05786)|
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| Robust Shadow Estimation 🚧 | [RSE](https://mitiq.readthedocs.io/en/stable/guide/shadows.html)| [`mitiq.qse`](https://github.com/unitaryfund/mitiq/tree/main/mitiq/shadows) | [2011.09636](https://arxiv.org/abs/2011.09636) <br> [2002.08953](https://arxiv.org/abs/2002.08953)|
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| Layerwise Richardson Extrapolation | [LRE](https://mitiq.readthedocs.io/en/stable/guide/lre.html) | [`mitiq.lre`](https://github.com/unitaryfund/mitiq/tree/main/mitiq/lre) | [2402.04000](https://arxiv.org/abs/2402.04000) |
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| Probabilistic Error Amplification 🚧 | Coming soon | `mitiq.pea` | [Nature](https://www.nature.com/articles/s41586-023-06096-30) |
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In addition, we also have a noise tailoring technique currently available with limited functionality:

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