Add helpful information to functions examples

docs/guides/algorithmiq-tem.ipynb

@@ -156,7 +156,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "cc0a8093",
    "metadata": {},
    "outputs": [],
@@ -165,6 +165,8 @@
     "\n",
     "tem_function_name = \"algorithmiq/tem\"\n",
     "catalog = QiskitFunctionsCatalog(channel=\"ibm_quantum_platform\")\n",
+    "# verify that you have access to the function\n",
+    "catalog.list()\n",
     "\n",
     "# Load your function\n",
     "tem = catalog.load(tem_function_name)"
@@ -230,7 +232,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "47b0db71",
    "metadata": {},
    "outputs": [
@@ -243,6 +245,8 @@
     }
    ],
    "source": [
+    "# Print the ID so you can use it later, if necessary\n",
+    "print(job.job_id)\n",
     "print(job.status())"
    ]
   },

docs/guides/colibritd-pde.ipynb

@@ -123,7 +123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "95a715d2",
    "metadata": {},
    "outputs": [],
@@ -132,6 +132,9 @@
     "\n",
     "catalog = QiskitFunctionsCatalog(channel=\"ibm_quantum_platform\")\n",
     "\n",
+    "# Verify that you have access to the function\n",
+    "catalog.list()\n",
+    "\n",
     "quick = catalog.load(\"colibritd/quick-pde\")"
    ]
   },
@@ -192,6 +195,8 @@
     }
    ],
    "source": [
+    "# Print the ID so you can use it later, if necessary\n",
+    "print(job.job_id)\n",
     "print(job.status())\n",
     "solution = job.result()"
    ]

docs/guides/functions.ipynb

@@ -188,7 +188,9 @@
    "id": "e3cada45-0364-4096-8481-6eb99d43c656",
    "metadata": {},
    "source": [
-    "4. After you have authenticated, you can list the functions from the Qiskit Functions Catalog that you have access to:"
+    "### List the functions you can access\n",
+    "\n",
+    "After you authenticate, you can list the functions from the Qiskit Functions Catalog that you have access to:"
    ]
   },
   {

docs/guides/global-data-quantum-optimizer.ipynb

@@ -103,6 +103,9 @@
     "\n",
     "catalog = QiskitFunctionsCatalog(channel=\"ibm_quantum_platform\")\n",
     "\n",
+    "# Verify that you have access to the function\n",
+    "catalog.list()\n",
+    "\n",
     "# Access function\n",
     "dpo_solver = catalog.load(\"global-data-quantum/quantum-portfolio-optimizer\")"
    ]
@@ -327,7 +330,10 @@
     "    backend_name=\"<backend name>\",\n",
     "    previous_session_id=[],\n",
     "    apply_postprocess=True,\n",
-    ")"
+    ")\n",
+    "\n",
+    "# Print the ID so you can use it later, if necessary\n",
+    "print(dpo_job.job_id)"
    ]
   },
   {

docs/guides/kipu-optimization.ipynb

@@ -171,6 +171,9 @@
     "    token=\"YOUR_API_KEY\",\n",
     ")\n",
     "\n",
+    "# verify that you have access to the function\n",
+    "catalog.list()\n",
+    "\n",
     "# Access Function\n",
     "optimizer = catalog.load(\"kipu-quantum/iskay-quantum-optimizer\")"
    ]
@@ -289,7 +292,10 @@
     "    \"options\": options,\n",
     "}\n",
     "\n",
-    "job = optimizer.run(**arguments)"
+    "job = optimizer.run(**arguments)\n",
+    "\n",
+    "# Print the ID so you can use it later, if necessary\n",
+    "print(job.job_id)"
    ]
   },
   {

docs/guides/multiverse-computing-singularity.ipynb

@@ -137,7 +137,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "95a715d2",
    "metadata": {},
    "outputs": [],
@@ -146,6 +146,9 @@
     "\n",
     "catalog = QiskitFunctionsCatalog(channel=\"ibm_quantum_platform\")\n",
     "\n",
+    "# Verify that you have access to the function\n",
+    "catalog.list()\n",
+    "\n",
     "# load function\n",
     "singularity = catalog.load(\"multiverse/singularity\")"
    ]
@@ -357,7 +360,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "f5a54432",
    "metadata": {},
    "outputs": [
@@ -380,6 +383,9 @@
     "# list available classifiers using the list action\n",
     "job = singularity.run(action=\"list\")\n",
     "\n",
+    "# Print the ID so you can use it later, if necessary\n",
+    "print(job.job_id)\n",
+    "\n",
     "print(job.result())\n",
     "\n",
     "# you can also find your classifiers in the shared data directory with a *.pkl.tar extension\n",

docs/guides/q-ctrl-optimization-solver.ipynb

@@ -138,7 +138,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "95a715d2",
    "metadata": {},
    "outputs": [],
@@ -147,6 +147,9 @@
     "\n",
     "catalog = QiskitFunctionsCatalog(channel=\"ibm_quantum_platform\")\n",
     "\n",
+    "# Verify that you have access to the function\n",
+    "catalog.list()\n",
+    "\n",
     "# Access Function\n",
     "solver = catalog.load(\"q-ctrl/optimization-solver\")"
    ]
@@ -295,7 +298,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "856fe992",
    "metadata": {},
    "outputs": [
@@ -308,6 +311,9 @@
     }
    ],
    "source": [
+    "# Print the ID so you can use it later, if necessary\n",
+    "print(maxcut_job.job_id)\n",
+    "\n",
     "# Get job status\n",
     "print(maxcut_job.status())"
    ]

docs/guides/q-ctrl-performance-management.ipynb

@@ -140,7 +140,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "11af8fb4",
    "metadata": {},
    "outputs": [],
@@ -149,6 +149,9 @@
     "\n",
     "catalog = QiskitFunctionsCatalog(channel=\"ibm_quantum_platform\")\n",
     "\n",
+    "# verify that you have access to the function\n",
+    "catalog.list()\n",
+    "\n",
     "# Access Function\n",
     "perf_mgmt = catalog.load(\"q-ctrl/performance-management\")"
    ]
@@ -471,7 +474,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "b7acbb7f",
    "metadata": {},
    "outputs": [
@@ -487,6 +490,9 @@
     }
    ],
    "source": [
+    "# Print the ID so you can use it later, if necessary\n",
+    "print(qctrl_sampler_job.job_id)\n",
+    "\n",
     "qctrl_sampler_job.status()"
    ]
   },

docs/guides/qedma-qesem.ipynb

@@ -123,7 +123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "95a715d2",
    "metadata": {},
    "outputs": [],
@@ -134,6 +134,9 @@
     "\n",
     "catalog = QiskitFunctionsCatalog(channel=\"ibm_quantum_platform\")\n",
     "\n",
+    "# verify that you have access to the function\n",
+    "catalog.list()\n",
+    "\n",
     "qesem_function = catalog.load(\"qedma/qesem\")"
    ]
   },
@@ -232,6 +235,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "# Print the ID so you can use it later, if necessary\n",
+    "print(sample_job.job_id)\n",
+    "\n",
     "print(sample_job.status())\n",
     "result = sample_job.result()"
    ]

docs/guides/qunova-chemistry.ipynb

@@ -153,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "95a715d2",
    "metadata": {},
    "outputs": [],
@@ -163,6 +163,9 @@
     "\n",
     "catalog = QiskitFunctionsCatalog(channel=\"ibm_quantum_platform\")\n",
     "\n",
+    "# Verify that you have access to the function\n",
+    "catalog.list()\n",
+    "\n",
     "function = catalog.load(\"qunova/hivqe-chemistry\")"
    ]
   },