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actions-user committed Feb 14, 2025
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1 change: 1 addition & 0 deletions Makefile
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Expand Up @@ -79,5 +79,6 @@ environment:
$$PYTHON_VENV_PATH/bin/python -m pip install --extra-index-url https://test.pypi.org/simple/ PennyLane-Catalyst --pre --upgrade;\
$$PYTHON_VENV_PATH/bin/python -m pip install --extra-index-url https://test.pypi.org/simple/ PennyLane-Lightning --pre --upgrade;\
$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/PennyLaneAI/pennylane.git#egg=pennylane;\
$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/XanaduAI/iqpopt.git#egg=iqpopt;\
fi;\
fi
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4 changes: 4 additions & 0 deletions _static/authors/erik_recio.txt
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.. bio:: Erik Recio
:photo: ../_static/authors/erik_recio.jpg

Erik is a quantum researcher at ICFO and is doing his PhD on Quantum Machine Learning.
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118 changes: 118 additions & 0 deletions demonstrations/tutorial_iqp_circuit_optimization_jax.metadata.json
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{
"title": "Fast optimization of instantaneous quantum polynomial circuits",
"authors": [
{
"username": "erikrecio"
},
{
"username": "josephbowles"
}
],
"dateOfPublication": "2025-02-14T09:00:00+00:00",
"dateOfLastModification": "2025-02-14T09:00:00+00:00",
"categories": [
"Optimization",
"Algorithms"
],
"tags": [],
"previewImages": [
{
"type": "thumbnail",
"uri": "/_static/demo_thumbnails/regular_demo_thumbnails/thumbnail_iqp_circuit_optimization_jax.png"
},
{
"type": "large_thumbnail",
"uri": "/_static/demo_thumbnails/large_demo_thumbnails/thumbnail_large_iqp_circuit_optimization_jax.png"
}
],
"seoDescription": "Learn how to speed up the optimization of Instantaneous Quantum Polynomial (IQP) circuits using the IQPopt package.",
"doi": "",
"references": [
{
"id": "bremner1",
"type": "preprint",
"title": "Classical simulation of commuting quantum computations implies collapse of the polynomial hierarchy",
"authors": "Michael J. Bremner, Richard Jozsa, Dan J. Shepherd",
"year": "2010",
"publisher": "",
"journal": "",
"doi": "10.48550/arXiv.1005.1407",
"url": "https://arxiv.org/abs/1005.1407"
},
{
"id": "recio1",
"type": "preprint",
"title": "IQPopt: Fast optimization of instantaneous quantum polynomial circuits in JAX",
"authors": "Erik Recio-Armengol, Joseph Bowles",
"year": "2025",
"publisher": "",
"journal": "",
"doi": "10.48550/arXiv.2501.04776",
"url": "https://arxiv.org/abs/2501.04776"
},
{
"id": "bremner2",
"type": "article",
"title": "Achieving quantum supremacy with sparse and noisy commuting quantum computations",
"authors": "Michael J. Bremner, Ashley Montanaro, Dan J. Shepherd",
"year": "2017",
"publisher": "",
"journal": "Quantum",
"doi": "10.22331/q-2017-04-25-8",
"url": "https://quantum-journal.org/papers/q-2017-04-25-8/"
},
{
"id": "bluvstein",
"type": "article",
"title": "Logical quantum processor based on reconfigurable atom arrays",
"authors": "Dolev Bluvstein, Simon J Evered, Alexandra A Geim, Sophie H Li, Hengyun Zhou, Tom Manovitz, Sepehr Ebadi, Madelyn Cain, Marcin Kalinowski, Dominik Hangleiter, et al.",
"year": "2024",
"publisher": "",
"journal": "Nature",
"doi": "10.1038/s41586-023-06927-3",
"url": "https://www.nature.com/articles/s41586-023-06927-3"
},
{
"id": "nest",
"type": "preprint",
"title": "Simulating quantum computers with probabilistic methods",
"authors": "M. Van den Nest",
"year": "2010",
"publisher": "",
"journal": "",
"doi": "10.48550/arXiv.0911.1624",
"url": "https://arxiv.org/abs/0911.1624"
},
{
"id": "ravuri",
"type": "preprint",
"title": "Understanding Deep Generative Models with Generalized Empirical Likelihoods",
"authors": "Suman Ravuri, Mélanie Rey, Shakir Mohamed, Marc Deisenroth",
"year": "2023",
"publisher": "",
"journal": "",
"doi": "10.48550/arXiv.2306.09780",
"url": "https://arxiv.org/abs/2306.09780"
},
{
"id": "marshall1",
"type": "preprint",
"title": "Improved separation between quantum and classical computers for sampling and functional tasks",
"authors": "Simon C. Marshall, Scott Aaronson, Vedran Dunjko",
"year": "2024",
"publisher": "",
"journal": "",
"doi": "10.48550/arXiv.2410.20935",
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}
],
"basedOnPapers": ["10.48550/arXiv.2501.04776"],
"referencedByPapers": [],
"relatedContent": [
{
"type": "demonstration",
"id": "tutorial_quantum_gans",
"weight": 1.0
}
]
}
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