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5 changes: 2 additions & 3 deletions docs/tutorials/long-range-entanglement.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -1061,7 +1061,7 @@
"source": [
"## Step 3: Execute using Qiskit primitives\n",
"\n",
"In this step, we execute the experiment on the specified backend. To access the latest dynamic circuit capabilities, the `gen3-experimental` execution path must be specified. We also make use of batching to efficiently run the experiment across multiple trials. Running repeated trials allows us to compute averages for a more accurate comparison between the unitary and dynamic methods, as well as to quantify their variability by comparing the deviations across runs."
"In this step, we execute the experiment on the specified backend. We also make use of batching to efficiently run the experiment across multiple trials. Running repeated trials allows us to compute averages for a more accurate comparison between the unitary and dynamic methods, as well as to quantify their variability by comparing the deviations across runs."
]
},
{
Expand Down Expand Up @@ -1092,7 +1092,7 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": null,
"id": "e6f7811d",
"metadata": {},
"outputs": [],
Expand All @@ -1102,7 +1102,6 @@
"jobs_dyn = []\n",
"with Batch(backend=backend) as batch:\n",
" sampler = Sampler(mode=batch)\n",
" sampler.options.experimental = {\"execution_path\": \"gen3-experimental\"}\n",
" for _ in range(num_trials):\n",
" jobs_uni.append(sampler.run(isa_circuits_uni, shots=1024))\n",
" jobs_dyn.append(sampler.run(isa_circuits_dyn, shots=1024))"
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4 changes: 2 additions & 2 deletions docs/tutorials/projected-quantum-kernels.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -1474,7 +1474,7 @@
"metadata": {
"description": "Tutorial on enhancing feature classification using projected quantum kernels",
"kernelspec": {
"display_name": "Python 3",
"display_name": ".venv",
"language": "python",
"name": "python3"
},
Expand All @@ -1488,7 +1488,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3"
"version": "3.14.0"
},
"title": "Enhance feature classification using projected quantum kernels",
"widgets": {
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