Demo checks for v0.37

demonstrations/getting_started_with_hybrid_jobs.metadata.json

@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2023-10-16T00:00:00+00:00",
-    "dateOfLastModification": "2024-03-04T00:00:00+00:00",
+    "dateOfLastModification": "2024-07-04T00:00:00+00:00",
     "categories": [
         "Devices and Performance"
     ],
@@ -35,4 +35,4 @@
             "logo": "/_static/hardware_logos/aws.png"
         }
     ]
-}
+}

demonstrations/getting_started_with_hybrid_jobs.py

@@ -52,11 +52,10 @@
 
 .. warning::
 
-    The following demo is only compatible with Python version 3.10 and PennyLane v0.32.
+    The following demo is only compatible with Python version 3.10.
 
 """
 
-
 ######################################################################
 # First, we define a quantum simulator to run the algorithm on. In this example, we will use the Braket
 # local simulator before moving onto a QPU.
@@ -250,8 +249,9 @@ def circuit(params):
 
 import pandas as pd
 import matplotlib.pyplot as plt
+from braket.jobs.metrics_data.definitions import MetricType
 
-df = pd.DataFrame(job.metrics())
+df = pd.DataFrame(job.metrics(metric_type=MetricType.ITERATION_NUMBER))
 df.sort_values(by=["iteration_number"], inplace=True)
 
 plt.plot(df["iteration_number"], df["expval"], "-o", color="orange")
@@ -373,7 +373,7 @@ def circuit(params):
 # is not as smooth as the simulator, but the minimum still is detected correctly!
 #
 
-df = pd.DataFrame(qpu_job.metrics())
+df = pd.DataFrame(qpu_job.metrics(metric_type=MetricType.ITERATION_NUMBER))
 df.sort_values(by=["iteration_number"], inplace=True)
 
 plt.plot(df["iteration_number"], df["expval"], "-o", color="teal")

demonstrations/oqc_pulse.metadata.json

@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2023-10-30T00:00:00+00:00",
-    "dateOfLastModification": "2024-01-01T00:00:00+00:00",
+    "dateOfLastModification": "2024-07-04T00:00:00+00:00",
     "categories": [
         "Quantum Computing"
     ],
@@ -71,4 +71,4 @@
             "weight": 1.0
         }
     ]
-}
+}