PennyLaneAI · michaelvu97 · May 7, 2024 · May 8, 2024 · May 14, 2024 · May 16, 2024
diff --git a/.github/workflows/update-metadata-reminder.yml b/.github/workflows/update-metadata-reminder.yml
@@ -18,7 +18,7 @@ jobs:
             repo: context.repo.repo,
             body: `👋 Hey, looks like you've updated some demos!
 
-            🐘 Don't forget to update the \`dateOfLastModification\` in the associated metadata files so your changes show up on [pennylane.ai](https://pennylane.ai).
+            🐘 Don't forget to update the \`dateOfLastModification\` in the associated metadata files so your changes are reflected in Glass Onion (search and recommendations).
 
             Please hide this comment once the field(s) are updated. Thanks!`
           })
diff --git a/.github/workflows/upload-text.yml b/.github/workflows/upload-text.yml
@@ -51,8 +51,11 @@ jobs:
           path: qml_text
 
       - name: Copy Concatenated Metadata into Build
-        run: |
-          jq -s . $(find demonstrations -name "*.metadata.json" -type f) > ${{ steps.qml_text.outputs.download-path }}/demos/metadata.json
+        run: >
+          jq -s .
+          $(find demonstrations -name "*.metadata.json" -type f
+          ! -name "demonstrations_categories.metadata.json")
+          > ${{ steps.qml_text.outputs.download-path }}/demos/metadata.json
 
       - name: Upload
         uses: XanaduAI/cloud-actions/push-to-s3-and-invalidate-cloudfront@main

diff --git a/Makefile b/Makefile
@@ -77,5 +77,6 @@ environment:
 			$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/PennyLaneAI/pennylane-cirq.git#egg=pennylane-cirq;\
 			$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/PennyLaneAI/pennylane-qiskit.git#egg=pennylane-qiskit;\
 			$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/PennyLaneAI/pennylane-qulacs.git#egg=pennylane-qulacs;\
+			$$PYTHON_VENV_PATH/bin/python -m pip install -i https://test.pypi.org/simple/ PennyLane-Lightning --pre --upgrade;\
 		fi;\
 	fi
diff --git a/README.md b/README.md
@@ -59,7 +59,7 @@ quantum computing paper/result.
 
   ```python
   ##############################################################################
-  #.. figure:: ../_static/demonstrations_assets/<demo name>/image.png
+  #.. figure:: ../_static/demonstration_assets/<demo name>/image.png
   #    :align: center
   #    :width: 90%
   ```

diff --git a/_static/authors/ara_ghukasyan.jpeg b/_static/authors/ara_ghukasyan.jpeg
diff --git a/_static/authors/ara_ghukasyan.txt b/_static/authors/ara_ghukasyan.txt
@@ -0,0 +1,6 @@
+.. bio:: Ara Ghukasyan
+   :photo: ../_static/authors/ara_ghukasyan.jpeg
+
+   Ara is a Research Software Engineer at Agnostiq Inc. He has a B.Sc. in Math & Physics and a Ph.D. in Engineering Physics from McMaster University in Hamilton, Ontario. Ara’s interests include machine learning, physics, and quantum computing.
+
+
diff --git a/_static/authors/dan_strano.jpeg b/_static/authors/dan_strano.jpeg
diff --git a/_static/authors/dan_strano.txt b/_static/authors/dan_strano.txt
@@ -0,0 +1,4 @@
+.. bio:: Dan Strano
+   :photo: ../_static/authors/dan_strano.jpeg
+
+   Dan Strano is a technical staff member at Unitary Fund. Additionally, he has been the lead author of the Qrack simulator framework since 2017.
diff --git a/_static/authors/diksha_dhawan.png b/_static/authors/diksha_dhawan.png
diff --git a/_static/authors/diksha_dhawan.txt b/_static/authors/diksha_dhawan.txt
@@ -0,0 +1,4 @@
+.. bio:: Diksha Dhawan
+   :photo: ../_static/authors/diksha_dhawan.png
+
+   Diksha is a quantum software developer at Xanadu. Her work is focused on implementing quantum computing algorithms for quantum chemistry.
diff --git a/_static/authors/gopal_ramesh_dahale.jpeg b/_static/authors/gopal_ramesh_dahale.jpeg
diff --git a/_static/authors/gopal_ramesh_dahale.txt b/_static/authors/gopal_ramesh_dahale.txt
@@ -0,0 +1,4 @@
+.. bio:: Gopal Ramesh Dahale
+   :photo: ../_static/authors/gopal_ramesh_dahale.jpeg
+
+   Gopal is a quantum research software engineer at Qkrishi and a Qiskit advocate interested in applications of quantum computing in machine learning, chemistry and combinatorial optimization problems.
diff --git a/_static/authors/isaac_de_vlugt.jpeg b/_static/authors/isaac_de_vlugt.jpeg
diff --git a/_static/authors/isaac_de_vlugt.txt b/_static/authors/isaac_de_vlugt.txt
@@ -0,0 +1,4 @@
+.. bio:: Isaac De Vlugt
+   :photo: ../_static/authors/isaac_de_vlugt.jpeg
+
+   Isaac De Vlugt is a Quantum Scientist on the Product team at Xanadu. His work involves creating accessible quantum computing content and PennyLane features for the community, as well as spamming GIFs in our Slack channels.
diff --git a/_static/authors/pietropaolo_frisoni.jpg b/_static/authors/pietropaolo_frisoni.jpg
diff --git a/_static/authors/pietropaolo_frisoni.txt b/_static/authors/pietropaolo_frisoni.txt
@@ -0,0 +1,4 @@
+.. bio:: Pietropaolo Frisoni
+   :photo: ../_static/authors/pietropaolo_frisoni.jpg
+
+   Pietropaolo is a quantum software developer at Xanadu. His background is in theoretical physics and quantum gravity, with a focus on scientific computing.
diff --git a/_static/demonstration_assets/adjoint_diff/scaling.png b/_static/demonstration_assets/adjoint_diff/scaling.png
diff --git a/_static/demonstration_assets/barren_gadgets/barren_gadgets.py b/_static/demonstration_assets/barren_gadgets/barren_gadgets.py
@@ -1,6 +1,8 @@
 import pennylane as qml
 from pennylane import numpy as np
 
+def non_identity_obs(obs):
+    return [o for o in obs if not isinstance(o, qml.Identity)]
 
 class PerturbativeGadgets:
     """ Class to generate the gadget Hamiltonian corresponding to a given
@@ -28,12 +30,13 @@ def gadgetize(self, Hamiltonian, target_locality=3):
         # checking for unaccounted for situations
         self.run_checks(Hamiltonian, target_locality)
         computational_qubits, computational_locality, computational_terms = self.get_params(Hamiltonian)
+        Hamiltonian_coeffs, Hamiltonian_ops = Hamiltonian.terms()
 
         # total qubit count, updated progressively when adding ancillaries
         total_qubits = computational_qubits
         #TODO: check proper convergence guarantee
         gap = 1
-        perturbation_norm = np.sum(np.abs(Hamiltonian.coeffs)) \
+        perturbation_norm = np.sum(np.abs(Hamiltonian_coeffs)) \
                           + computational_terms * (computational_locality - 1)
         lambda_max = gap / (4 * perturbation_norm)
         l = self.perturbation_factor * lambda_max
@@ -44,7 +47,7 @@ def gadgetize(self, Hamiltonian, target_locality=3):
         obs_anc = []
         obs_pert = []
         ancillary_register_size = int(computational_locality / (target_locality - 2))
-        for str_count, string in enumerate(Hamiltonian.ops):
+        for str_count, string in enumerate(Hamiltonian_ops):
             previous_total = total_qubits
             total_qubits += ancillary_register_size
             # Generating the ancillary part
@@ -54,10 +57,10 @@ def gadgetize(self, Hamiltonian, target_locality=3):
             # Generating the perturbative part
             for anc_q in range(ancillary_register_size):
                 term = qml.PauliX(previous_total+anc_q) @ qml.PauliX(previous_total+(anc_q+1)%ancillary_register_size)
-                term = qml.operation.Tensor(term, *string.non_identity_obs[
+                term = qml.prod(term, *non_identity_obs(string.operands)[
                     (target_locality-2)*anc_q:(target_locality-2)*(anc_q+1)])
                 obs_pert.append(term)
-            coeffs_pert += [l * sign_correction * Hamiltonian.coeffs[str_count]] \
+            coeffs_pert += [l * sign_correction * Hamiltonian_coeffs[str_count]] \
                         + [l] * (ancillary_register_size - 1)
         coeffs = coeffs_anc + coeffs_pert
         obs = obs_anc + obs_pert
@@ -77,12 +80,13 @@ def get_params(self, Hamiltonian):
             computational_terms (int)     : number of terms in the sum 
                                             composing the Hamiltonian
         """
+        _, Hamiltonian_ops = Hamiltonian.terms()
         # checking how many qubits the Hamiltonian acts on
         computational_qubits = len(Hamiltonian.wires)
         # getting the number of terms in the Hamiltonian
-        computational_terms = len(Hamiltonian.ops)
+        computational_terms = len(Hamiltonian_ops)
         # getting the locality, assuming all terms have the same
-        computational_locality = max([len(Hamiltonian.ops[s].non_identity_obs) 
+        computational_locality = max([len(non_identity_obs(Hamiltonian_ops[s])) 
                                       for s in range(computational_terms)])
         return computational_qubits, computational_locality, computational_terms
 
@@ -96,6 +100,7 @@ def run_checks(self, Hamiltonian, target_locality):
         Returns:
             None
         """
+        _, Hamiltonian_ops = Hamiltonian.terms()
         computational_qubits, computational_locality, _ = self.get_params(Hamiltonian)
         computational_qubits = len(Hamiltonian.wires)
         if computational_qubits != Hamiltonian.wires[-1] + 1:
@@ -104,8 +109,8 @@ def run_checks(self, Hamiltonian, target_locality):
                             'Decomposition not implemented for this case')
         # Check for same string lengths
         localities=[]
-        for string in Hamiltonian.ops:
-            localities.append(len(string.non_identity_obs))
+        for string in Hamiltonian_ops:
+            localities.append(len(non_identity_obs(string)))
         if len(np.unique(localities)) > 1:
             raise Exception('The given Hamiltonian has terms with different locality.' +
                             ' Gadgetization not implemented for this case')

diff --git a/_static/demonstration_assets/covalent_cloud_gpu/covalent_cloud_gpu_19_1.png b/_static/demonstration_assets/covalent_cloud_gpu/covalent_cloud_gpu_19_1.png
diff --git a/_static/demonstration_assets/covalent_cloud_gpu/thumbnail_covalent_cloud_gpu.png b/_static/demonstration_assets/covalent_cloud_gpu/thumbnail_covalent_cloud_gpu.png
diff --git a/...tic/demonstration_assets/error_prop/OGthumbnail_large_error-prop_2024-05-01.png b/...tic/demonstration_assets/error_prop/OGthumbnail_large_error-prop_2024-05-01.png
diff --git a/_static/demonstration_assets/error_prop/thumbnail_error-prop_2024-05-01.png b/_static/demonstration_assets/error_prop/thumbnail_error-prop_2024-05-01.png
diff --git a/...ate_dynamic_mcm_circuits/socialthumbnail_how_to_create_dynamic_mcm_circuits.png b/...ate_dynamic_mcm_circuits/socialthumbnail_how_to_create_dynamic_mcm_circuits.png
diff --git a/...tration_assets/how_to_simulate_quantum_circuits_with_tensor_networks/TN_MPS.gif b/...tration_assets/how_to_simulate_quantum_circuits_with_tensor_networks/TN_MPS.gif
diff --git a/...monstration_assets/how_to_use_qiskit_1_with_pennylane/pl_real_world_example.png b/...monstration_assets/how_to_use_qiskit_1_with_pennylane/pl_real_world_example.png
diff --git a/...tion_assets/how_to_use_qiskit_1_with_pennylane/qiskit_parameterized_circuit.png b/...tion_assets/how_to_use_qiskit_1_with_pennylane/qiskit_parameterized_circuit.png
diff --git a/...amplitude_amplification/OGthumbnail_large_AmplitudeAmplification_2024-04-29.png b/...amplitude_amplification/OGthumbnail_large_AmplitudeAmplification_2024-04-29.png
diff --git a/_static/demonstration_assets/intro_amplitude_amplification/ampamp1.jpeg b/_static/demonstration_assets/intro_amplitude_amplification/ampamp1.jpeg
diff --git a/_static/demonstration_assets/intro_amplitude_amplification/ampamp2.jpeg b/_static/demonstration_assets/intro_amplitude_amplification/ampamp2.jpeg
diff --git a/_static/demonstration_assets/intro_amplitude_amplification/ampamp3.jpeg b/_static/demonstration_assets/intro_amplitude_amplification/ampamp3.jpeg
diff --git a/_static/demonstration_assets/intro_amplitude_amplification/overcook.gif b/_static/demonstration_assets/intro_amplitude_amplification/overcook.gif
diff --git a/_static/demonstration_assets/intro_amplitude_amplification/sum_zero.jpeg b/_static/demonstration_assets/intro_amplitude_amplification/sum_zero.jpeg
diff --git a/...s/intro_amplitude_amplification/thumbnail_AmplitudeAmplification_2024-04-29.png b/...s/intro_amplitude_amplification/thumbnail_AmplitudeAmplification_2024-04-29.png
diff --git a/_static/demonstration_assets/liesim/Ue.png b/_static/demonstration_assets/liesim/Ue.png
diff --git a/_static/demonstration_assets/liesim/e.png b/_static/demonstration_assets/liesim/e.png
diff --git a/_static/demonstration_assets/liesim/thumbnail_gsim.png b/_static/demonstration_assets/liesim/thumbnail_gsim.png
diff --git a/_static/demonstration_assets/liesim/wUe.png b/_static/demonstration_assets/liesim/wUe.png
diff --git a/_static/demonstration_assets/liesim_extension/2P_first_second.png b/_static/demonstration_assets/liesim_extension/2P_first_second.png
diff --git a/_static/demonstration_assets/liesim_extension/2P_fourth.png b/_static/demonstration_assets/liesim_extension/2P_fourth.png
diff --git a/_static/demonstration_assets/liesim_extension/2P_thirds.png b/_static/demonstration_assets/liesim_extension/2P_thirds.png
diff --git a/_static/demonstration_assets/liesim_extension/first_order_diagram.png b/_static/demonstration_assets/liesim_extension/first_order_diagram.png
diff --git a/_static/demonstration_assets/liesim_extension/first_split.png b/_static/demonstration_assets/liesim_extension/first_split.png
diff --git a/_static/demonstration_assets/liesim_extension/thumbnail_liesim3.png b/_static/demonstration_assets/liesim_extension/thumbnail_liesim3.png
diff --git a/_static/demonstration_assets/liesim_extension/thumbnail_liesim_extension.png b/_static/demonstration_assets/liesim_extension/thumbnail_liesim_extension.png
diff --git a/_static/demonstration_assets/mapping/OGthumbnail_large_mapping_2024-05-01.png b/_static/demonstration_assets/mapping/OGthumbnail_large_mapping_2024-05-01.png
diff --git a/_static/demonstration_assets/mapping/long_image.png b/_static/demonstration_assets/mapping/long_image.png
diff --git a/_static/demonstration_assets/mapping/thumbnail_mapping_2024-05-01.png b/_static/demonstration_assets/mapping/thumbnail_mapping_2024-05-01.png
diff --git a/_static/demonstration_assets/mapping/thumbnail_mapping_2024-06-20.png b/_static/demonstration_assets/mapping/thumbnail_mapping_2024-06-20.png
diff --git a/_static/demonstration_assets/mcm_introduction/socialthumbnail_mcm_introduction.png b/_static/demonstration_assets/mcm_introduction/socialthumbnail_mcm_introduction.png
diff --git a/...tration_assets/qcbm/OGthumbnail_large_QuantumCircuitBornMachines_2024-05-13.png b/...tration_assets/qcbm/OGthumbnail_large_QuantumCircuitBornMachines_2024-05-13.png
diff --git a/...c/demonstration_assets/qcbm/thumbnail_QuantumCircuitBornMachines_2024-05-13.png b/...c/demonstration_assets/qcbm/thumbnail_QuantumCircuitBornMachines_2024-05-13.png
diff --git a/_static/demonstration_assets/qrack/fig1.png b/_static/demonstration_assets/qrack/fig1.png
diff --git a/_static/demonstration_assets/qrack/fig2.png b/_static/demonstration_assets/qrack/fig2.png
diff --git a/_static/demonstration_assets/qrack/fig3.png b/_static/demonstration_assets/qrack/fig3.png
diff --git a/_static/demonstration_assets/qrack/fig4.png b/_static/demonstration_assets/qrack/fig4.png
diff --git a/_static/demonstration_assets/qrack/fig5.png b/_static/demonstration_assets/qrack/fig5.png
diff --git a/_static/demonstration_assets/qrack/fig6.png b/_static/demonstration_assets/qrack/fig6.png
diff --git a/_static/demonstration_assets/qrack/qrack_catalyst_integration_shelf.png b/_static/demonstration_assets/qrack/qrack_catalyst_integration_shelf.png
diff --git a/...emonstration_assets/regular_demo_thumbnails/thumbnail_HowToUseQiskit1WithPL.png b/...emonstration_assets/regular_demo_thumbnails/thumbnail_HowToUseQiskit1WithPL.png
diff --git a/...assets/regular_demo_thumbnails/thumbnail_how_to_create_dynamic_mcm_circuits.png b/...assets/regular_demo_thumbnails/thumbnail_how_to_create_dynamic_mcm_circuits.png
diff --git a/...emonstration_assets/regular_demo_thumbnails/thumbnail_how_to_default_tensor.png b/...emonstration_assets/regular_demo_thumbnails/thumbnail_how_to_default_tensor.png
diff --git a/...tic/demonstration_assets/regular_demo_thumbnails/thumbnail_mcm_introduction.png b/...tic/demonstration_assets/regular_demo_thumbnails/thumbnail_mcm_introduction.png
diff --git a/...tration_assets/regular_demo_thumbnails/thumbnail_qrack_catalyst_integration.png b/...tration_assets/regular_demo_thumbnails/thumbnail_qrack_catalyst_integration.png
diff --git a/_static/hardware_logos/covalent.png b/_static/hardware_logos/covalent.png
diff --git a/...tic/large_demo_thumbnails/thumbnail_large_AmplitudeAmplification_2024-04-29.png b/...tic/large_demo_thumbnails/thumbnail_large_AmplitudeAmplification_2024-04-29.png
diff --git a/_static/large_demo_thumbnails/thumbnail_large_HowToUseQiskit1WithPL.png b/_static/large_demo_thumbnails/thumbnail_large_HowToUseQiskit1WithPL.png
diff --git a/...large_demo_thumbnails/thumbnail_large_QuantumCircuitBornMachines_2024-05-13.png b/...large_demo_thumbnails/thumbnail_large_QuantumCircuitBornMachines_2024-05-13.png
diff --git a/_static/large_demo_thumbnails/thumbnail_large_covalent_cloud_gpu.png b/_static/large_demo_thumbnails/thumbnail_large_covalent_cloud_gpu.png
diff --git a/_static/large_demo_thumbnails/thumbnail_large_error-prop_2024-05-01.png b/_static/large_demo_thumbnails/thumbnail_large_error-prop_2024-05-01.png
diff --git a/_static/large_demo_thumbnails/thumbnail_large_gsim.png b/_static/large_demo_thumbnails/thumbnail_large_gsim.png
diff --git a/...ic/large_demo_thumbnails/thumbnail_large_how_to_create_dynamic_mcm_circuits.png b/...ic/large_demo_thumbnails/thumbnail_large_how_to_create_dynamic_mcm_circuits.png
diff --git a/_static/large_demo_thumbnails/thumbnail_large_how_to_default_tensor.png b/_static/large_demo_thumbnails/thumbnail_large_how_to_default_tensor.png
diff --git a/_static/large_demo_thumbnails/thumbnail_large_liesim_extension.png b/_static/large_demo_thumbnails/thumbnail_large_liesim_extension.png
diff --git a/_static/large_demo_thumbnails/thumbnail_large_mapping_2024-05-01.png b/_static/large_demo_thumbnails/thumbnail_large_mapping_2024-05-01.png
diff --git a/_static/large_demo_thumbnails/thumbnail_large_mapping_2024-06-20.png b/_static/large_demo_thumbnails/thumbnail_large_mapping_2024-06-20.png
diff --git a/_static/large_demo_thumbnails/thumbnail_large_mcm_introduction.png b/_static/large_demo_thumbnails/thumbnail_large_mcm_introduction.png
diff --git a/_static/large_demo_thumbnails/thumbnail_large_qrack_catalyst_integration.png b/_static/large_demo_thumbnails/thumbnail_large_qrack_catalyst_integration.png
diff --git a/demonstrations/adjoint_diff_benchmarking.metadata.json b/demonstrations/adjoint_diff_benchmarking.metadata.json
@@ -6,13 +6,13 @@
         }
     ],
     "dateOfPublication": "2021-11-23T00:00:00+00:00",
-    "dateOfLastModification": "2024-01-01T00:00:00+00:00",
+    "dateOfLastModification": "2024-07-04T00:00:00+00:00",
     "categories": [],
     "tags": [],
     "previewImages": [
         {
             "type": "thumbnail",
-            "uri": "/_static/demonstration_assets/adjoint_diff/icon.png"
+            "uri": "/_static/demonstration_assets/regular_demo_thumbnails/thumbnail_adjoint_differentiation.png"
         }
     ],
     "seoDescription": "Benchmarking file for adjoint diff demonstration.",

diff --git a/demonstrations/adjoint_diff_benchmarking.py b/demonstrations/adjoint_diff_benchmarking.py
@@ -10,7 +10,7 @@
     :property="og:image": https://pennylane.ai/qml/_static/thumbs/code.png
 
 
-*Author: Christina Lee — Posted: 23 November 2021. Last updated: 23 November 2021.*
+*Author: Christina Lee — Posted: 23 November 2021. Last updated: 04 July 2024.*
 
 """
 
@@ -98,14 +98,15 @@ def circuit(params):
 
 
 if __name__ == "__main__":
-    layers_list = [1, 3, 5, 7, 9]
-    n_wires = 5
-    adjoint_layers, backprop_layers, ps_layers = layers_scaling(n_wires, layers_list)
 
     wires_list = [3, 6, 9, 12, 15]
-    n_layers = 3
+    n_layers = 6
     adjoint_wires, backprop_wires, ps_wires = wires_scaling(wires_list, n_layers)
 
+    layers_list = [3, 9, 15, 21, 27]
+    n_wires = 12
+    adjoint_layers, backprop_layers, ps_layers = layers_scaling(n_wires, layers_list)
+
     # Generating the graphic
     fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4))
 
@@ -132,7 +133,7 @@ def circuit(params):
     ax2.set_ylabel("Time")
     ax2.set_title("Scaling with Layers")
 
-    plt.savefig("adjoint_diff/scaling.png")
+    plt.savefig("scaling.png")
 
 ##############################################################################
 #

diff --git a/demonstrations/ahs_aquila.metadata.json b/demonstrations/ahs_aquila.metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2023-05-16T00:00:00+00:00",
-    "dateOfLastModification": "2024-01-01T00:00:00+00:00",
+    "dateOfLastModification": "2024-07-10T00:00:00+00:00",
     "categories": ["Quantum Hardware", "Devices and Performance", "Quantum Computing"],
     "tags": [],
     "previewImages": [

diff --git a/demonstrations/ahs_aquila.py b/demonstrations/ahs_aquila.py
@@ -254,7 +254,7 @@
 #      {'area': {'width': Decimal('0.000075'), 'height': Decimal('0.000076')},
 #       'geometry': {'spacingRadialMin': Decimal('0.000004'),
 #        'spacingVerticalMin': Decimal('0.000004'),
-#        'positionResolution': Decimal('1E-7'),
+#        'positionResolution': Decimal('1E-8'),
 #        'numberSitesMax': 256}}
 #
 # We can see that the atom field has a width of :math:`75 \, \mu m` and a height of :math:`76 \, \mu m`.
@@ -289,6 +289,7 @@
 plt.scatter([x for x, y in coordinates], [y for x, y in coordinates])
 plt.xlabel("μm")
 plt.ylabel("μm")
+plt.show()
 
 ##############################################################################
 # .. figure:: ../_static/demonstration_assets/ahs_aquila/rydberg_blockade_coordinates.png
@@ -347,16 +348,17 @@
 #       'rydbergGlobal': {'rabiFrequencyRange': (Decimal('0.0'),
 #         Decimal('15800000.0')),
 #        'rabiFrequencyResolution': Decimal('400.0'),
-#        'rabiFrequencySlewRateMax': Decimal('250000000000000.0'),
+#        'rabiFrequencySlewRateMax': Decimal('400000000000000.0'),
 #        'detuningRange': (Decimal('-125000000.0'), Decimal('125000000.0')),
 #        'detuningResolution': Decimal('0.2'),
-#        'detuningSlewRateMax': Decimal('2500000000000000.0'),
+#        'detuningSlewRateMax': Decimal('6000000000000000.0'),
 #        'phaseRange': (Decimal('-99.0'), Decimal('99.0')),
 #        'phaseResolution': Decimal('5E-7'),
 #        'timeResolution': Decimal('1E-9'),
 #        'timeDeltaMin': Decimal('5E-8'),
 #        'timeMin': Decimal('0.0'),
-#        'timeMax': Decimal('0.000004')}}
+#        'timeMax': Decimal('0.000004')},
+#       'rydbergLocal': None}
 #
 # It is important to note that these quantities are in radians per second rather than Hz where relevant, and
 # are all in SI units. This means that for amplitude and detuning, we will need to convert from angular
@@ -436,7 +438,7 @@ def angular_SI_to_MHz(angular_SI):
 
 
 def gaussian_fn(p, t):
-    return p[0] * jnp.exp(-((t-p[1])**2) / (2*p[2]**2))
+    return p[0] * jnp.exp(-((t - p[1]) ** 2) / (2 * p[2] ** 2))
 
 
 # Visualize pulse, time in μs
@@ -453,6 +455,7 @@ def gaussian_fn(p, t):
 plt.ylabel("Amplitude [MHz]")
 
 plt.plot(time, y)
+plt.show()
 
 ##############################################################################
 #
@@ -467,10 +470,7 @@ def gaussian_fn(p, t):
 # We can then define our drive using via :func:`~pennylane.pulse.rydberg_drive`:
 #
 
-global_drive = qml.pulse.rydberg_drive(amplitude=gaussian_fn,
-                                       phase=0,
-                                       detuning=0,
-                                       wires=[0, 1, 2])
+global_drive = qml.pulse.rydberg_drive(amplitude=gaussian_fn, phase=0, detuning=0, wires=[0, 1, 2])
 
 ######################################################################
 # With only amplitude as non-zero, the overall driven Hamiltonian in this case simplifies to:
@@ -606,7 +606,7 @@ def circuit(params):
 start_val = amplitude[0]
 stop_val = amplitude[-1]
 max_val = np.max(amplitude)
-max_rate = np.max([(amplitude[i + 1] - amplitude[i]) / timestep for i in range(len(times)-1)])
+max_rate = np.max([(amplitude[i + 1] - amplitude[i]) / timestep for i in range(len(times) - 1)])
 
 print(f"start value: {start_val:.3} MHz")
 print(f"stop value: {stop_val:.3} MHz")
@@ -636,10 +636,7 @@ def circuit(params):
 #
 
 amp_fn = qml.pulse.rect(gaussian_fn, windows=[0.01, 1.749])
-global_drive = qml.pulse.rydberg_drive(amplitude=amp_fn,
-                                       phase=0,
-                                       detuning=0,
-                                       wires=[0, 1, 2])
+global_drive = qml.pulse.rydberg_drive(amplitude=amp_fn, phase=0, detuning=0, wires=[0, 1, 2])
 
 ######################################################################
 # At this point we could skip directly to defining a ``qnode`` using the ``aquila`` device and running our
@@ -679,6 +676,7 @@ def circuit(params):
 plt.xlabel("μm")
 plt.ylabel("μm")
 plt.legend()
+plt.show()
 
 ##############################################################################
 #
@@ -705,8 +703,7 @@ def circuit(params):
 # values for plotting the function defined in PennyLane for amplitude
 input_times = np.linspace(*ts, 1000)
 input_amplitudes = [
-    qml.pulse.rect(gaussian_fn, windows=[0.01, 1.749])(amplitude_params, _t)
-    for _t in input_times
+    qml.pulse.rect(gaussian_fn, windows=[0.01, 1.749])(amplitude_params, _t) for _t in input_times
 ]
 
 # plot PL input and hardware setpoints for comparison