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ikurecic authored Sep 13, 2024
2 parents 073562e + 180b9f1 commit d6d2bb8
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2 changes: 2 additions & 0 deletions .github/workflows/deploy-demos-to-prod.yml
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Expand Up @@ -19,6 +19,7 @@ jobs:
run: |
aws s3 cp --recursive s3://$AWS_S3_BUCKET_ID/master ./local-master
aws s3 cp s3://$AWS_S3_HTML_BUCKET_ID/qml/searchindex.js searchindex.js
aws s3 cp s3://$AWS_S3_HTML_BUCKET_ID/qml/objects.inv objects.inv
- name: Push production bucket
env:
Expand All @@ -29,6 +30,7 @@ jobs:
run: |
aws s3 sync ./local-master s3://$AWS_S3_BUCKET_ID/master --delete
aws s3 cp searchindex.js s3://$AWS_S3_HTML_BUCKET_ID/qml/searchindex.js
aws s3 cp objects.inv s3://$AWS_S3_HTML_BUCKET_ID/qml/objects.inv
- name: Trigger production website build
uses: peter-evans/repository-dispatch@v2
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3 changes: 3 additions & 0 deletions .github/workflows/upload-json.yml
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Expand Up @@ -105,6 +105,9 @@ jobs:
- name: Sync searchindex to HTML Bucket
run: aws s3 cp searchindex.js s3://$AWS_S3_HTML_BUCKET_ID/qml/searchindex.js

- name: Sync objects.inv to HTML Bucket
run: aws s3 cp ${{ steps.qml_json.outputs.download-path }}/objects.inv s3://$AWS_S3_HTML_BUCKET_ID/qml/objects.inv

trigger-website-build:
runs-on: ubuntu-latest

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66 changes: 66 additions & 0 deletions demonstrations/ml_classical_shadows.metadata.json
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{
"title": "Machine learning for quantum many-body problems",
"authors": [
{
"username": "whatsis"
}
],
"dateOfPublication": "2022-05-02T00:00:00+00:00",
"dateOfLastModification": "2024-09-05T00:00:00+00:00",
"categories": [
"Quantum Machine Learning"
],
"tags": [],
"previewImages": [
{
"type": "thumbnail",
"uri": "_static/demo_thumbnails/regular_demo_thumbnails/thumbnail_machine_learning_quantum_manybody_problems.png"
},
{
"type": "large_thumbnail",
"uri": "_static/demo_thumbnails/large_demo_thumbnails/thumbnail_large_machine_learning_quantum_manybody_problems.png"
}
],
"seoDescription": "Learn how to apply machine learning to quantum many-body problems by using classical shadow formalism and ML to predict the ground-state properties of the 2D antiferromagnetic Heisenberg model.",
"doi": "",
"canonicalURL": "/qml/demos/ml_classical_shadows",
"references": [
{
"id": "preskill",
"type": "article",
"title": "Provably efficient machine learning for quantum many-body problems",
"authors": "H. Y. Huang, R. Kueng, G. Torlai, V. V. Albert, J. Preskill",
"year": "2021",
"journal": "",
"url": "https://arxiv.org/abs/2106.12627"
},
{
"id": "neurtangkernel",
"type": "article",
"title": "Neural tangent kernel: Convergence and generalization in neural networks",
"authors": "A. Jacot, F. Gabriel, and C. Hongler",
"year": "2018",
"journal": "",
"url": "https://proceedings.neurips.cc/paper/2018/file/5a4be1fa34e62bb8a6ec6b91d2462f5a-Paper.pdf"
}
],
"basedOnPapers": ["10.48550/arXiv.2106.12627"],
"referencedByPapers": [],
"relatedContent": [
{
"type": "demonstration",
"id": "tutorial_classical_shadows",
"weight": 1.0
},
{
"type": "demonstration",
"id": "tutorial_kernel_based_training",
"weight": 1.0
},
{
"type": "demonstration",
"id": "tutorial_kernels_module",
"weight": 1.0
}
]
}
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