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    "def reduced_HW_efficient_ansatz(current_params):\n    q = qiskit.QuantumRegister(2, \"q\")\n    qc = qiskit.QuantumCircuit(q, qiskit.ClassicalRegister(2, \"c\"))\n\n    qc.x(q[0])\n    qc.rz(current_params[0], q[0])\n    qc.y(q[1])\n\n    qc.cx(q[0], q[1])\n\n    qc.rz(current_params[1], q[0])\n    qc.rz(current_params[2], q[1])\n    qc.y(q[0])\n    qc.y(q[1])\n\n    # no CNOT, works without it.\n\n    qc.rx(current_params[3], q[0])\n    qc.rz(current_params[4], q[1])\n    qc.z(q[0])\n    qc.y(q[1])\n\n    qc.cx(q[0], q[1])\n\n    return qc\n",
    "def reduced_HW_efficient_ansatz(current_params):\n    q = qiskit.QuantumRegister(2, \"q\")\n    qc = qiskit.QuantumCircuit(q, qiskit.ClassicalRegister(2, \"c\"))\n\n    qc.x(q[0])\n    qc.rz(current_params[0], q[0])\n    qc.y(q[1])\n\n    qc.cx(q[0], q[1])\n\n    qc.rz(current_params[1], q[0])\n    qc.rz(current_params[2], q[1])\n    qc.y(q[0])\n    qc.y(q[1])\n\n    # no CNOT, works without it.\n\n    qc.rx(current_params[3], q[0])\n    qc.rz(current_params[4], q[1])\n    qc.z(q[0])\n    qc.y(q[1])\n\n    qc.cx(q[0], q[1])\n\n    return qc\n",
    "def reduced_HW_efficient_ansatz(current_params):\n    q = qiskit.QuantumRegister(2, \"q\")\n    qc = qiskit.QuantumCircuit(q, qiskit.ClassicalRegister(2, \"c\"))\n\n    qc.x(q[0])\n    qc.rz(current_params[0], q[0])\n    qc.y(q[1])\n\n    qc.cx(q[0], q[1])\n\n    qc.rz(current_params[1], q[0])\n    qc.rz(current_params[2], q[1])\n    qc.y(q[0])\n    qc.y(q[1])\n\n    # no CNOT, works without it.\n\n    qc.rx(current_params[3], q[0])\n    qc.rz(current_params[4], q[1])\n    qc.z(q[0])\n    qc.y(q[1])\n\n    qc.cx(q[0], q[1])\n\n    return qc\n"
  ],
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    "def reduced_HW_efficient_ansatz(current_params):\n    q = qiskit.QuantumRegister(2, \"q\")\n    qc = qiskit.QuantumCircuit(q, qiskit.ClassicalRegister(2, \"c\"))\n\n    qc.x(q[0])\n    qc.rz(current_params[0], q[0])\n    qc.y(q[1])\n\n    qc.cx(q[0], q[1])\n\n    qc.rz(current_params[1], q[0])\n    qc.rz(current_params[2], q[1])\n    qc.y(q[0])\n    qc.y(q[1])\n\n    # no CNOT, works without it.\n\n    qc.rx(current_params[3], q[0])\n    qc.rz(current_params[4], q[1])\n    qc.z(q[0])\n    qc.y(q[1])\n\n    qc.cx(q[0], q[1])\n\n    return qc\n"
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    "def my_cobyla( func, x0, my_args=(), my_options=None ):\n    \"Stock COBYLA optimizer from SciPy library\"\n\n    return scipy.optimize.minimize( func, x0, method='BFGS', options=my_options, args=my_args )\n",
    "def my_cobyla( func, x0, my_args=(), my_options=None ):\n    \"Stock COBYLA optimizer from SciPy library\"\n\n    return scipy.optimize.minimize( func, x0, method='BFGS', options=my_options, args=my_args )\n",
    "def my_cobyla( func, x0, my_args=(), my_options=None ):\n    \"Stock COBYLA optimizer from SciPy library\"\n\n    return scipy.optimize.minimize( func, x0, method='BFGS', options=my_options, args=my_args )\n"
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