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doctorperceptronactions-usermudit2812Mandrenkovdwierichs
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Add author profiles (#1258)
Apologies for the large PR, but this touches a large number of demos. This PR replaces legacy demo author information with their new pennylane Profiles. It also introduces a new version of the `demo.metadata.schema` which requires the `username` field (PennyLane Profile), and will not accept the legacy `id` field for demo authors. The expectation is that all demo authors create PennyLane Profiles to store their avatar and bio going forward. *Notes:* The new metadata schema file is exactly the same as the previous version (copy paste) except for the `authors` field: ``` "authors": { "description": "The author(s) of the demo. This array must contain at least one item.", "type": "array", "items": { "$ref": "file:./objects/author.schema.0.2.0.json" }, "minItems": 1 }, ``` --------- Co-authored-by: GitHub Nightly Merge Action <actions@github.com> Co-authored-by: Mudit Pandey <mudit.pandey@xanadu.ai> Co-authored-by: Mikhail Andrenkov <mikhail@xanadu.ai> Co-authored-by: David Wierichs <davidwierichs@gmail.com> Co-authored-by: Korbinian Kottmann <43949391+Qottmann@users.noreply.github.com> Co-authored-by: Ivana Kurečić <ivana@xanadu.ai> Co-authored-by: Jack Brown <jack.brown486@gmail.com> Co-authored-by: bellekaplan <167111433+bellekaplan@users.noreply.github.com> Co-authored-by: Utkarsh <utkarshazad98@gmail.com> Co-authored-by: Pietropaolo Frisoni <pietropaolo.frisoni@xanadu.ai> Co-authored-by: Guillermo Alonso-Linaje <65235481+KetpuntoG@users.noreply.github.com> Co-authored-by: gmlej <gmlejarza@gmail.com> Co-authored-by: Jorge J. Martínez de Lejarza <61199780+gmlejarza@users.noreply.github.com> Co-authored-by: ixfoduap <40441298+ixfoduap@users.noreply.github.com>
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‎.github/workflows/validate-demo-metadata.yml

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METADATA_FILE_LIST: ${{ needs.generate-metadata-file-list.outputs.metadata_files }}
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run: |
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cd metadata_schemas
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${{ steps.poetry.outputs.bin }} run check-jsonschema -v --traceback-mode full --schemafile demo.metadata.schema.0.1.4.json $METADATA_FILE_LIST
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${{ steps.poetry.outputs.bin }} run check-jsonschema -v --traceback-mode full --schemafile demo.metadata.schema.0.1.5.json $METADATA_FILE_LIST
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validate-metadata-preview-images:
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runs-on: ubuntu-latest

‎demonstrations/braket-parallel-gradients.metadata.json

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"username": "mariaschuld"
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},
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{
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"id": "matthew_beach"
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"username": "mbeach"
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}
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],
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"dateOfPublication": "2020-12-08T00:00:00+00:00",
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"dateOfLastModification": "2024-10-07T00:00:00+00:00",
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"dateOfLastModification": "2024-11-06T00:00:00+00:00",
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"categories": [
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"Devices and Performance"
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],

‎demonstrations/circuits_as_fourier_series.metadata.json

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"title": "Circuits as Fourier series",
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"authors": [
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{
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"id": "david_wakeham"
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"username": "hapax"
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}
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],
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"dateOfPublication": "2023-09-11T00:00:00+00:00",
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"dateOfLastModification": "2024-10-07T00:00:00+00:00",
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"dateOfLastModification": "2024-11-06T00:00:00+00:00",
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"categories": [
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"Optimization",
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"Quantum Machine Learning"

‎demonstrations/covalent_cloud_gpu.metadata.json

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"title": "Running GPU-accelerated quantum circuit simulations on Covalent Cloud using PennyLane",
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"authors": [
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{
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"id": "santosh_kumar_radha"
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"username": "skradha"
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},
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{
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"id": "ara_ghukasyan"
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"username": "aghukasyan"
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}
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],
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"dateOfPublication": "2024-05-24T00:00:00+00:00",
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"dateOfLastModification": "2024-10-07T00:00:00+00:00",
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"dateOfLastModification": "2024-11-06T00:00:00+00:00",
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"categories": [
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"Quantum Machine Learning"
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],

‎demonstrations/getting_started_with_hybrid_jobs.metadata.json

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"title": "Getting started with the Amazon Braket Hybrid Jobs",
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"authors": [
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{
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"id": "matthew_beach"
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"username": "mbeach"
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}
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],
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"dateOfPublication": "2023-10-16T00:00:00+00:00",
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"dateOfLastModification": "2024-10-07T00:00:00+00:00",
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"dateOfLastModification": "2024-11-06T00:00:00+00:00",
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"categories": [
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"Devices and Performance"
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],

‎demonstrations/ibm_pennylane.metadata.json

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"title": "Using PennyLane with IBM's quantum devices and Qiskit",
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"authors": [
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{
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"id": "kaur_kristjuhan"
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"username": "kkristjuhan"
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},
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{
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"id": "clara_ferreira_cores"
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"username": "cfcores"
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},
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{
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"id": "mark_nicholas_jones"
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"username": "mnjones"
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}
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],
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"dateOfPublication": "2023-06-20T00:00:00+00:00",
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"dateOfLastModification": "2024-10-07T00:00:00+00:00",
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"dateOfLastModification": "2024-11-06T00:00:00+00:00",
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"categories": [
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"Devices and Performance"
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],

‎demonstrations/learning2learn.metadata.json

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"title": "Learning to learn with quantum neural networks",
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"authors": [
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{
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"id": "stefano_mangini"
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"username": "smangini"
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}
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],
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"dateOfPublication": "2021-03-02T00:00:00+00:00",
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"dateOfLastModification": "2024-10-07T00:00:00+00:00",
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"dateOfLastModification": "2024-11-06T00:00:00+00:00",
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"categories": [
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"Quantum Machine Learning"
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],

‎demonstrations/qnspsa.metadata.json

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"title": "Quantum natural SPSA optimizer",
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"authors": [
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{
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"id": "yiheng_duan"
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"username": "yduan"
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}
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],
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"dateOfPublication": "2022-07-18T00:00:00+00:00",
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"dateOfLastModification": "2024-10-07T00:00:00+00:00",
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"dateOfLastModification": "2024-11-06T00:00:00+00:00",
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"categories": [
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"Optimization"
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],

‎demonstrations/qonn.metadata.json

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"title": "Optimizing a quantum optical neural network",
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"authors": [
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{
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"id": "theodor_isacsson"
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"username": "tisacsson"
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}
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],
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"dateOfPublication": "2020-08-05T00:00:00+00:00",
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"dateOfLastModification": "2024-10-07T00:00:00+00:00",
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"dateOfLastModification": "2024-11-06T00:00:00+00:00",
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"categories": [
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"Optimization"
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],

‎demonstrations/qrack.metadata.json

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"title": "QJIT compilation with Qrack and Catalyst",
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"authors": [
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{
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"id": "dan_strano"
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"username": "dstrano"
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}
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],
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"dateOfPublication": "2024-07-10T00:00:00+00:00",
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"dateOfLastModification": "2024-10-07T00:00:00+00:00",
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"dateOfLastModification": "2024-11-06T00:00:00+00:00",
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"categories": [
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"Devices and Performance"
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],

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