PennyLaneAI
diff --git a/‎demonstrations_v2/adjoint_diff_benchmarking/demo.py‎
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diff --git a/‎demonstrations_v2/adjoint_diff_benchmarking/metadata.json‎
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diff --git a/‎demonstrations_v2/ahs_aquila/demo.py‎
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diff --git a/‎demonstrations_v2/ahs_aquila/metadata.json‎
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diff --git a/‎demonstrations_v2/braket-parallel-gradients/demo.py‎
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diff --git a/‎demonstrations_v2/braket-parallel-gradients/metadata.json‎
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diff --git a/‎demonstrations_v2/circuits_as_fourier_series/demo.py‎
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diff --git a/‎demonstrations_v2/circuits_as_fourier_series/metadata.json‎
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diff --git a/‎demonstrations_v2/covalent_cloud_gpu/demo.py‎
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diff --git a/‎demonstrations_v2/covalent_cloud_gpu/metadata.json‎
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@@ -9,9 +9,6 @@
     :property="og:description": Benchmarking file for adjoint diff demonstration.
     :property="og:image": https://pennylane.ai/qml/_static/demo_thumbnails/opengraph_demo_thumbnails/code.png
 
-
-*Author: Christina Lee — Posted: 23 November 2021. Last updated: 04 July 2024.*
-
 """
 
 ##############################################################################
@@ -139,7 +136,3 @@ def circuit(params):
 #     :width: 80%
 #     :align: center
 #
-#
-# About the author
-# ----------------
-#
@@ -8,7 +8,7 @@
     "executable_stable": false,
     "executable_latest": false,
     "dateOfPublication": "2021-11-23T00:00:00+00:00",
-    "dateOfLastModification": "2025-07-11T00:00:00+00:00",
+    "dateOfLastModification": "2025-09-09T17:41:50+00:00",
     "categories": [
         "Getting Started"
     ],
@@ -25,4 +25,4 @@
     "basedOnPapers": [],
     "referencedByPapers": [],
     "relatedContent": []
-}
+}
@@ -9,8 +9,6 @@
    tutorial_pasqal Quantum computation with neutral atoms
    tutorial_pulse_programming101 Differentiable pulse programming with qubits in PennyLane
 
-*Author: Lillian M.A. Frederiksen — Posted: 16 May 2023.*
-
 Neutral atom hardware is a new innovation in quantum technology that has been gaining traction in
 recent years thanks to new developments in optical tweezer technology. One such device,
 `QuEra's Aquila <https://www.quera.com/aquila>`__, is capable of running circuits with up to 256
@@ -824,8 +822,4 @@ def circuit(params):
 #     Alexander Keesling, Eric Kessler, and Peter Komar
 #     "AWS Quantum Technologies Blog: Realizing quantum spin liquid phase on an analog Hamiltonian Rydberg simulator"
 #     `Amazon Quantum Computing Blog <https://aws.amazon.com/blogs/quantum-computing/realizing-quantum-spin-liquid-phase-on-an-analog-hamiltonian-rydberg-simulator/>`__, 2021.
-
-##############################################################################
-# About the author
-# ----------------
 #
@@ -8,7 +8,7 @@
     "executable_stable": false,
     "executable_latest": false,
     "dateOfPublication": "2023-05-16T00:00:00+00:00",
-    "dateOfLastModification": "2025-07-11T00:00:00+00:00",
+    "dateOfLastModification": "2025-09-09T17:41:50+00:00",
     "categories": [
         "Quantum Hardware",
         "Devices and Performance",
@@ -81,4 +81,4 @@
             "logo": "/_static/hardware_logos/aws.png"
         }
     ]
-}
+}
@@ -12,7 +12,6 @@
     vqe_parallel VQE with parallel QPUs with Rigetti
 
 
-*Authors: Tom Bromley and Maria Schuld — Posted: 08 December 2020. Last updated: 30 September 2021.*
 
 PennyLane integrates with `Amazon Braket <https://aws.amazon.com/braket/>`__ to enable quantum
 machine learning and optimization on high-performance simulators and quantum processing
@@ -603,9 +602,4 @@ def cost_function(params, **kwargs):
 #
 # For more examples of how to use hybrid jobs, see the
 # `Amazon Braket examples GitHub <https://github.com/amazon-braket/amazon-braket-examples/tree/main/examples/hybrid_jobs>`__.
-#
-
-##############################################################################
-# About the authors
-# -----------------
-#
+#
@@ -14,7 +14,7 @@
     "executable_stable": false,
     "executable_latest": false,
     "dateOfPublication": "2020-12-08T00:00:00+00:00",
-    "dateOfLastModification": "2024-11-06T00:00:00+00:00",
+    "dateOfLastModification": "2025-09-09T17:41:50+00:00",
     "categories": [
         "Devices and Performance"
     ],
@@ -49,4 +49,4 @@
             "logo": "/_static/hardware_logos/aws.png"
         }
     ]
-}
+}
@@ -796,8 +796,3 @@
 Finally, PennyLane is jam-packed with tools for analyzing circuits as Fourier series.
 Check out the documentation on the `Fourier module <https://docs.pennylane.ai/en/stable/code/qml_fourier.html>`__ to learn more!
 """
-
-##############################################################################
-# About the author
-# ----------------
-#
@@ -8,7 +8,7 @@
     "executable_stable": false,
     "executable_latest": false,
     "dateOfPublication": "2023-09-11T00:00:00+00:00",
-    "dateOfLastModification": "2024-11-06T00:00:00+00:00",
+    "dateOfLastModification": "2025-09-09T17:41:50+00:00",
     "categories": [
         "Optimization",
         "Quantum Machine Learning"
@@ -46,4 +46,4 @@
             "weight": 1.0
         }
     ]
-}
+}
@@ -1,5 +1,5 @@
 r"""Running GPU-accelerated quantum circuit simulations on Covalent Cloud using PennyLane
-===================================================================
+=========================================================================================
 """
 
 ##############################################################################
@@ -364,9 +364,4 @@ def run_qsvm(n_samples, test_size):
 #    train_acc, test_acc, decision_boundary_figure = result.result.value
 #    print(f"Train accuracy: {train_acc * 100:.1f}%")
 #    print(f"Test accuracy: {test_acc * 100:.1f}%")
-#
-
-##############################################################################
-# About the author
-# ----------------
-# 
+#
@@ -11,7 +11,7 @@
     "executable_stable": false,
     "executable_latest": false,
     "dateOfPublication": "2024-05-24T00:00:00+00:00",
-    "dateOfLastModification": "2024-11-06T00:00:00+00:00",
+    "dateOfLastModification": "2025-09-09T17:41:50+00:00",
     "categories": [
         "Quantum Machine Learning"
     ],
@@ -55,4 +55,4 @@
             "logo": "/_static/hardware_logos/covalent.png"
         }
     ]
-}
+}
Original file line number	Diff line number	Diff line change
`@@ -8,7 +8,7 @@`
`8`	`8`	`"executable_stable": false,`
`9`	`9`	`"executable_latest": false,`
`10`	`10`	`"dateOfPublication": "2023-05-16T00:00:00+00:00",`
`11`		`- "dateOfLastModification": "2025-07-11T00:00:00+00:00",`
	`11`	`+ "dateOfLastModification": "2025-09-09T17:41:50+00:00",`
`12`	`12`	`"categories": [`
`13`	`13`	`"Quantum Hardware",`
`14`	`14`	`"Devices and Performance",`
`@@ -81,4 +81,4 @@`
`81`	`81`	`"logo": "/_static/hardware_logos/aws.png"`
`82`	`82`	`}`
`83`	`83`	`]`
`84`		`-}`
	`84`	`+}`
Original file line number	Diff line number	Diff line change
`@@ -14,7 +14,7 @@`
`14`	`14`	`"executable_stable": false,`
`15`	`15`	`"executable_latest": false,`
`16`	`16`	`"dateOfPublication": "2020-12-08T00:00:00+00:00",`
`17`		`- "dateOfLastModification": "2024-11-06T00:00:00+00:00",`
	`17`	`+ "dateOfLastModification": "2025-09-09T17:41:50+00:00",`
`18`	`18`	`"categories": [`
`19`	`19`	`"Devices and Performance"`
`20`	`20`	`],`
`@@ -49,4 +49,4 @@`
`49`	`49`	`"logo": "/_static/hardware_logos/aws.png"`
`50`	`50`	`}`
`51`	`51`	`]`
`52`		`-}`
	`52`	`+}`
Original file line number	Diff line number	Diff line change
`@@ -11,7 +11,7 @@`
`11`	`11`	`"executable_stable": false,`
`12`	`12`	`"executable_latest": false,`
`13`	`13`	`"dateOfPublication": "2024-05-24T00:00:00+00:00",`
`14`		`- "dateOfLastModification": "2024-11-06T00:00:00+00:00",`
	`14`	`+ "dateOfLastModification": "2025-09-09T17:41:50+00:00",`
`15`	`15`	`"categories": [`
`16`	`16`	`"Quantum Machine Learning"`
`17`	`17`	`],`
`@@ -55,4 +55,4 @@`
`55`	`55`	`"logo": "/_static/hardware_logos/covalent.png"`
`56`	`56`	`}`
`57`	`57`	`]`
`58`		`-}`
	`58`	`+}`