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fix: hybrid neural network deprecated package fix #2062 #2133

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fix: hybrid neural network deprecated package fix #2062 #2133

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3eeeaef
fix: deprecated qobj removed and connected to t_qc
nuvinga Jun 21, 2023
7068e11
fix: deprecated qobj removed v2
nuvinga Jun 21, 2023
1447fe3
fix: deprecated qobj removed v2 ref conflicts resolved
nuvinga Jun 21, 2023
8dae1b3
Merge branch 'Qiskit:main' into main
nuvinga Jun 21, 2023
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10 changes: 6 additions & 4 deletions notebooks/v1/ch-machine-learning/machine-learning-qiskit-pytorch.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -160,10 +160,12 @@
" def run(self, thetas):\n",
" t_qc = transpile(self._circuit,\n",
" self.backend)\n",
" qobj = assemble(t_qc,\n",
" shots=self.shots,\n",
" parameter_binds = [{self.theta: theta} for theta in thetas])\n",
" job = self.backend.run(qobj)\n",
" # Using a qobj for run() is deprecated as of qiskit-aer 0.9.0.\n",
" # Therefore the transpiled qc (t_qc) is directly passed to the run method.\n",
" # qobj = assemble(t_qc,\n",
" # shots=self.shots,\n",
" # parameter_binds = [{self.theta: theta} for theta in thetas])\n",
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" job = self.backend.run(t_qc)\n",
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" result = job.result().get_counts()\n",
" \n",
" counts = np.array(list(result.values()))\n",
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10 changes: 6 additions & 4 deletions notebooks/v2/ch-machine-learning/machine-learning-qiskit-pytorch.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -160,10 +160,12 @@
" def run(self, thetas):\n",
" t_qc = transpile(self._circuit,\n",
" self.backend)\n",
" qobj = assemble(t_qc,\n",
" shots=self.shots,\n",
" parameter_binds = [{self.theta: theta} for theta in thetas])\n",
" job = self.backend.run(qobj)\n",
" # Using a qobj for run() is deprecated as of qiskit-aer 0.9.0.\n",
" # Therefore the transpiled qc (t_qc) is directly passed to the run method.\n",
" # qobj = assemble(t_qc,\n",
" # shots=self.shots,\n",
" # parameter_binds = [{self.theta: theta} for theta in thetas])\n",
" job = self.backend.run(t_qc)\n",
" result = job.result().get_counts()\n",
" \n",
" counts = np.array(list(result.values()))\n",
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