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Merge remote-tracking branch 'origin/master' into eqnn_forcefield_qjit
2 parents bdc6f4c + 461e9ae commit 710b99a

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demonstrations/gqe_training.metadata.json

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}
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],
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"dateOfPublication": "2024-09-20T00:00:00+00:00",
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"dateOfLastModification": "2024-10-07T00:00:00+00:00",
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"dateOfLastModification": "2024-11-08T00:00:00+00:00",
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"categories": ["Quantum Machine Learning", "Quantum Chemistry", "Algorithms"],
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"tags": [],
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"previewImages": [

demonstrations/gqe_training.py

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# Ashish Vaswani *et al.*, "Attention is All you Need".
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# Advances in Neural Information Processing Systems, 30 (2017)
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#
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######################################################################
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# About the authors
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# -----------------

demonstrations/tutorial_adversarial_attacks_QML.metadata.json

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}
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],
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"dateOfPublication": "2024-09-16T00:00:00+00:00",
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"dateOfLastModification": "2024-10-07T00:00:00+00:00",
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"dateOfLastModification": "2024-11-08T00:00:00+00:00",
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"categories": ["Quantum Machine Learning", "Quantum Computing"],
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"tags": ["Quantum machine learning", "QML", "Adversarial attacks", "Quantum security"],
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"previewImages": [

demonstrations/tutorial_adversarial_attacks_QML.py

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#
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######################################################################
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# About the author
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# ----------------
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# About the authors
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# -----------------

demonstrations/tutorial_how_to_quantum_just_in_time_compile_vqe_catalyst.metadata.json

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}
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],
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"dateOfPublication": "2024-04-26T00:00:00+00:00",
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"dateOfLastModification": "2024-10-07T00:00:00+00:00",
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"dateOfLastModification": "2024-11-08T00:00:00+00:00",
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"categories": [
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"Quantum Machine Learning",
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"Optimization",

demonstrations/tutorial_how_to_quantum_just_in_time_compile_vqe_catalyst.py

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#
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######################################################################
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# About the author
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# ----------------
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# About the authors
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# -----------------
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#
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# .. include:: ../_static/authors/ali_asadi.txt
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#

demonstrations/tutorial_how_to_use_noise_models.metadata.json

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}
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],
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"dateOfPublication": "2024-10-01T00:00:00+00:00",
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"dateOfLastModification": "2024-10-07T00:00:00+00:00",
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"dateOfLastModification": "2024-11-08T00:00:00+00:00",
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"categories": [
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"Quantum Computing",
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"How-to"

demonstrations/tutorial_how_to_use_quantum_arithmetic_operators.metadata.json

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}
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],
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"dateOfPublication": "2024-11-05T00:00:00+00:00",
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"dateOfLastModification": "2024-11-05T00:00:00+00:00",
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"dateOfLastModification": "2024-11-08T00:00:00+00:00",
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"categories": [
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"Quantum Computing",
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"Algorithms",

demonstrations/tutorial_how_to_use_quantum_arithmetic_operators.py

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# "Black-box quantum state preparation without arithmetic.",
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# `arXiv:1807.03206 <https://arxiv.org/abs/1807.03206/>`__, 2018.
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#
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######################################################################
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# About the authors
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# -----------------

demonstrations/tutorial_qjit_compile_grovers_algorithm_with_catalyst.metadata.json

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}
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],
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"dateOfPublication": "2024-11-07T00:00:00+00:00",
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"dateOfLastModification": "2024-11-07T00:00:00+00:00",
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"dateOfLastModification": "2024-11-08T00:00:00+00:00",
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"categories": [
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"Algorithms",
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"Devices and Performance",

demonstrations/tutorial_qjit_compile_grovers_algorithm_with_catalyst.py

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#
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# The performance improvements that can be achieved with QJIT compilation will depend on the
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# specific size and topology of your PennyLane circuit.
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######################################################################
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# About the author
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# ----------------

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