diff --git a/docs/guides/transpiler-stages.ipynb b/docs/guides/transpiler-stages.ipynb
index d2a8a89bcda..9dde665a03b 100644
--- a/docs/guides/transpiler-stages.ipynb
+++ b/docs/guides/transpiler-stages.ipynb
@@ -128,7 +128,7 @@
{
"data": {
"image/svg+xml": [
- ""
+ ""
],
"text/plain": [
""
@@ -150,13 +150,14 @@
"ghz.h(0)\n",
"ghz.cx(0, range(1, 15))\n",
"\n",
- "pass_manager = generate_preset_pass_manager(\n",
- " optimization_level=1,\n",
- " backend=backend,\n",
- " layout_method=\"trivial\", # Fixed layout mapped in circuit order\n",
- ")\n",
"depths = []\n",
- "for _ in range(100):\n",
+ "for seed in range(100):\n",
+ " pass_manager = generate_preset_pass_manager(\n",
+ " optimization_level=1,\n",
+ " backend=backend,\n",
+ " layout_method=\"trivial\", # Fixed layout mapped in circuit order\n",
+ " seed_transpiler=seed, # For reproducible results\n",
+ " )\n",
" depths.append(pass_manager.run(ghz).depth())\n",
"\n",
"plt.figure(figsize=(8, 6))\n",
@@ -206,7 +207,7 @@
{
"data": {
"image/svg+xml": [
- ""
+ ""
],
"text/plain": [
""
@@ -261,7 +262,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "native gates:['reset', 'id', 'delay', 'cx', 'if_else', 'measure', 'rz', 'switch_case', 'sx', 'for_loop', 'x']\n"
+ "native gates:['cx', 'delay', 'for_loop', 'id', 'if_else', 'measure', 'reset', 'rz', 'switch_case', 'sx', 'x']\n"
]
},
{
@@ -279,7 +280,7 @@
}
],
"source": [
- "print(\"native gates:\" + str(backend.operation_names))\n",
+ "print(\"native gates:\" + str(sorted(backend.operation_names)))\n",
"qc = QuantumCircuit(2)\n",
"qc.swap(0, 1)\n",
"qc.decompose().draw(\"mpl\")"
@@ -372,7 +373,7 @@
{
"data": {
"image/svg+xml": [
- ""
+ ""
],
"text/plain": [
""
@@ -395,6 +396,7 @@
" pass_manager = generate_preset_pass_manager(\n",
" optimization_level=level,\n",
" backend=backend,\n",
+ " seed_transpiler=1234,\n",
" )\n",
" circ = pass_manager.run(ghz)\n",
" depths.append(circ.depth())\n",
@@ -463,6 +465,7 @@
" backend=backend,\n",
" timing_constraints=backend.target.timing_constraints(),\n",
" scheduling_method=\"asap\",\n",
+ " seed_transpiler=1234,\n",
")\n",
"\n",
"\n",
diff --git a/docs/guides/visualize-results.ipynb b/docs/guides/visualize-results.ipynb
index 924842eaea1..61f06c2595b 100644
--- a/docs/guides/visualize-results.ipynb
+++ b/docs/guides/visualize-results.ipynb
@@ -70,7 +70,9 @@
"from qiskit_aer.primitives import Sampler\n",
"\n",
"from qiskit import QuantumCircuit\n",
- "from qiskit.visualization import plot_histogram"
+ "from qiskit.visualization import plot_histogram\n",
+ "\n",
+ "sampler = Sampler(backend_options={\"seed_simulator\": 1234})"
]
},
{
@@ -83,7 +85,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "{0: 0.483, 3: 0.517}\n"
+ "{3: 0.485, 0: 0.515}\n"
]
}
],
@@ -95,7 +97,7 @@
"bell.measure_all()\n",
"\n",
"# execute the quantum circuit\n",
- "quasi_dists = Sampler().run(bell, shots=1000).result().quasi_dists[0]\n",
+ "quasi_dists = sampler.run(bell, shots=1000).result().quasi_dists[0]\n",
"print(quasi_dists)"
]
},
@@ -108,7 +110,7 @@
{
"data": {
"image/svg+xml": [
- ""
+ ""
],
"text/plain": [
""
@@ -149,7 +151,7 @@
{
"data": {
"image/svg+xml": [
- ""
+ ""
],
"text/plain": [
""
@@ -162,7 +164,7 @@
],
"source": [
"# Execute two-qubit Bell state again\n",
- "second_quasi_dists = Sampler().run(bell, shots=1000).result().quasi_dists[0]\n",
+ "second_quasi_dists = sampler.run(bell, shots=1000).result().quasi_dists[0]\n",
"\n",
"# Plot results with custom options\n",
"plot_histogram(\n",
@@ -197,8 +199,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "EstimatorResult(values=array([ 0.41210938, -0.04296875, 0.50976562, 0.03710938, -0.6796875 ,\n",
- " 0.046875 , 0.74609375]), metadata=[{'shots': 1024, 'variance': 0.8301658630371094, 'simulator_metadata': [{'time_taken': 0.088026551, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.035824906, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.9981536865234375, 'simulator_metadata': [{'time_taken': 0.09900014, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.032809922, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.7401390075683594, 'simulator_metadata': [{'time_taken': 0.111462886, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.032796618, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.9986228942871094, 'simulator_metadata': [{'time_taken': 0.069538972, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.032297138, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.53802490234375, 'simulator_metadata': [{'time_taken': 0.066454049, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.043781008, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.997802734375, 'simulator_metadata': [{'time_taken': 0.085568344, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.043340898, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}, {'shots': 1024, 'variance': 0.4433441162109375, 'simulator_metadata': [{'time_taken': 0.073523941, 'num_bind_params': 1, 'parallel_state_update': 4, 'parallel_shots': 1, 'required_memory_mb': 1, 'input_qubit_map': [[1, 1], [0, 0]], 'method': 'statevector', 'device': 'CPU', 'num_qubits': 2, 'sample_measure_time': 0.044553507, 'active_input_qubits': [0, 1], 'num_clbits': 2, 'remapped_qubits': False, 'runtime_parameter_bind': False, 'max_memory_mb': 15990, 'noise': 'ideal', 'measure_sampling': True, 'batched_shots_optimization': False, 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}])\n"
+ "EstimatorResult(values=array([ 0.46875 , 0.0390625 , 0.50390625, -0.03125 , -0.70898438,\n",
+ " 0.00390625, 0.74609375]), metadata=[{'shots': 1024, 'variance': 0.7802734375, 'simulator_metadata': [{'num_bind_params': 1, 'runtime_parameter_bind': False, 'parallel_state_update': 16, 'parallel_shots': 1, 'sample_measure_time': 0.00021514, 'noise': 'ideal', 'batched_shots_optimization': False, 'remapped_qubits': False, 'active_input_qubits': [0, 1], 'device': 'CPU', 'time_taken': 0.000663561, 'measure_sampling': True, 'num_clbits': 2, 'max_memory_mb': 32768, 'input_qubit_map': [[1, 1], [0, 0]], 'num_qubits': 2, 'method': 'statevector', 'required_memory_mb': 1, 'fusion': {'enabled': True, 'threshold': 14, 'applied': False, 'max_fused_qubits': 5}}]}, {'shots': 1024, 'variance': 0.99847412109375, 'simulator_metadata': [{'num_bind_params': 1, 'runtime_parameter_bind': False, 'parallel_state_update': 16, 'parallel_shots': 1, 'sample_measure_time': 0.000168345, 'noise': 'ideal', 'batched_shots_optimization': False, 'remapped_qubits': False, 'active_input_qubits': [0, 1], 'device': 'CPU', 'time_taken': 0.000587515, 'measure_sampling': True, 'num_clbits': 2, 'max_memory_mb': 32768, 'input_qubit_map': [[1, 1], [0, 0]], 'num_qubits': 2, 'method': 'statevector', 'required_memory_mb': 1, 'fusion': {'enabled': True, 'threshold': 14, 'applied': False, 'max_fused_qubits': 5}}]}, {'shots': 1024, 'variance': 0.7460784912109375, 'simulator_metadata': [{'num_bind_params': 1, 'runtime_parameter_bind': False, 'parallel_state_update': 16, 'parallel_shots': 1, 'sample_measure_time': 0.000183198, 'noise': 'ideal', 'batched_shots_optimization': False, 'remapped_qubits': False, 'active_input_qubits': [0, 1], 'device': 'CPU', 'time_taken': 0.000575254, 'measure_sampling': True, 'num_clbits': 2, 'max_memory_mb': 32768, 'input_qubit_map': [[1, 1], [0, 0]], 'num_qubits': 2, 'method': 'statevector', 'required_memory_mb': 1, 'fusion': {'enabled': True, 'threshold': 14, 'applied': False, 'max_fused_qubits': 5}}]}, {'shots': 1024, 'variance': 0.9990234375, 'simulator_metadata': [{'num_bind_params': 1, 'runtime_parameter_bind': False, 'parallel_state_update': 16, 'parallel_shots': 1, 'sample_measure_time': 0.000164142, 'noise': 'ideal', 'batched_shots_optimization': False, 'remapped_qubits': False, 'active_input_qubits': [0, 1], 'device': 'CPU', 'time_taken': 0.000570774, 'measure_sampling': True, 'num_clbits': 2, 'max_memory_mb': 32768, 'input_qubit_map': [[1, 1], [0, 0]], 'num_qubits': 2, 'method': 'statevector', 'required_memory_mb': 1, 'fusion': {'enabled': True, 'threshold': 14, 'applied': False, 'max_fused_qubits': 5}}]}, {'shots': 1024, 'variance': 0.4973411560058594, 'simulator_metadata': [{'num_bind_params': 1, 'runtime_parameter_bind': False, 'parallel_state_update': 16, 'parallel_shots': 1, 'sample_measure_time': 0.000163506, 'noise': 'ideal', 'batched_shots_optimization': False, 'remapped_qubits': False, 'active_input_qubits': [0, 1], 'device': 'CPU', 'time_taken': 0.000548106, 'measure_sampling': True, 'num_clbits': 2, 'max_memory_mb': 32768, 'input_qubit_map': [[1, 1], [0, 0]], 'num_qubits': 2, 'method': 'statevector', 'required_memory_mb': 1, 'fusion': {'enabled': True, 'threshold': 14, 'applied': False, 'max_fused_qubits': 5}}]}, {'shots': 1024, 'variance': 0.9999847412109375, 'simulator_metadata': [{'num_bind_params': 1, 'runtime_parameter_bind': False, 'parallel_state_update': 16, 'parallel_shots': 1, 'sample_measure_time': 0.000200758, 'noise': 'ideal', 'batched_shots_optimization': False, 'remapped_qubits': False, 'active_input_qubits': [0, 1], 'device': 'CPU', 'time_taken': 0.000581137, 'measure_sampling': True, 'num_clbits': 2, 'max_memory_mb': 32768, 'input_qubit_map': [[1, 1], [0, 0]], 'num_qubits': 2, 'method': 'statevector', 'required_memory_mb': 1, 'fusion': {'enabled': True, 'threshold': 14, 'applied': False, 'max_fused_qubits': 5}}]}, {'shots': 1024, 'variance': 0.4433441162109375, 'simulator_metadata': [{'num_bind_params': 1, 'runtime_parameter_bind': False, 'parallel_state_update': 16, 'parallel_shots': 1, 'sample_measure_time': 0.000214086, 'noise': 'ideal', 'batched_shots_optimization': False, 'remapped_qubits': False, 'active_input_qubits': [0, 1], 'device': 'CPU', 'time_taken': 0.000600807, 'measure_sampling': True, 'num_clbits': 2, 'max_memory_mb': 32768, 'input_qubit_map': [[1, 1], [0, 0]], 'num_qubits': 2, 'method': 'statevector', 'required_memory_mb': 1, 'fusion': {'enabled': True, 'threshold': 14, 'applied': False, 'max_fused_qubits': 5}}]}])\n"
]
},
{
@@ -214,7 +216,7 @@
{
"data": {
"image/svg+xml": [
- ""
+ ""
],
"text/plain": [
""
@@ -238,7 +240,8 @@
"observables_labels = [\"ZZ\", \"XX\", \"YZ\", \"ZY\", \"XY\", \"XZ\", \"ZX\"]\n",
"observables = [SparsePauliOp(label) for label in observables_labels]\n",
"\n",
- "result = Estimator().run([qc] * 7, observables).result()\n",
+ "estimator = Estimator(backend_options={\"seed_simulator\": 1234})\n",
+ "result = estimator.run([qc] * 7, observables).result()\n",
"print(result)\n",
"\n",
"# Plot using Matplotlib\n",
@@ -272,7 +275,7 @@
{
"data": {
"image/svg+xml": [
- ""
+ ""
],
"text/plain": [
""