Demo iqpopt (#1307)

Makefile

@@ -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

_static/authors/erik_recio.txt

@@ -0,0 +1,4 @@
+.. 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.

demonstrations/tutorial_iqpopt.metadata.json

@@ -0,0 +1,107 @@
+{
+    "title": "IQPopt: Fast optimization of IQP circuits in JAX",
+    "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"
+        }   
+    ],
+    "basedOnPapers": [],
+    "referencedByPapers": [],
+    "relatedContent": [
+        {
+            "type": "demonstration",
+            "id": "tutorial_quantum_gans",
+            "weight": 1.0
+        }
+    ]
+}