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Quantum-NeuralAdaptiveLearningSystem

like 5

• "torch.nn.modules.linear.Linear",
• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.rnn.LSTM",
• "numpy.dtype",
• "collections.defaultdict",
• "qiskit.circuit.quantumregister.QuantumRegister",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "__builtin__.set",
• "_codecs.encode",
• "qiskit.circuit.library.standard_gates.z.ZGate",
• "__builtin__.dict",
• "qiskit.circuit.quantumcircuitdata.CircuitInstruction",
• "numpy.core.multiarray._reconstruct",
• "qiskit.circuit.quantumregister.Qubit",
• "qiskit.circuit.quantumcircuit.QuantumCircuit",
• "torch.optim.adam.Adam",
• "numpy.ndarray",
• "qiskit.circuit.library.standard_gates.i.IGate",
• "__main__.QNALS",
• "qiskit.circuit.library.standard_gates.y.YGate",
• "qiskit.quantum_info.operators.op_shape.OpShape",
• "torch.nn.modules.activation.MultiheadAttention",
• "qiskit_aer.noise.noise_model.NoiseModel",
• "torch._utils._rebuild_tensor_v2",
• "qiskit.circuit.quantumcircuit.BitLocations",
• "qiskit.circuit.library.standard_gates.x.XGate",
• "qiskit.circuit.parametertable.ParameterTable",
• "qiskit_aer.noise.errors.quantum_error.QuantumError",
• "torch.FloatStorage",
• "qiskit.circuit.instruction.Instruction",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "numpy.core.multiarray.scalar",
• "torch.nn.modules.activation.Sigmoid",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.batchnorm.BatchNorm1d",
• "torch.LongStorage",
• "__main__.QuantumCircuitModule",
• "collections.OrderedDict",
• "torch._utils._rebuild_parameter"

How to fix it?