prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_cv
¶
Continuous variable module
Module Contents¶
Classes¶
Class CVNeuralNetwork. |
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class
prevision_quantum_nn.models.pennylane_backend.qnn_pennylane_cv.
CVNeuralNetwork
(params)¶ Bases:
prevision_quantum_nn.models.pennylane_backend.qnn_pennylane.PennylaneNeuralNetwork
Class CVNeuralNetwork. Implements a neural network on Continuous Variable architecture
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cutoff_dim
¶ cutoff dimension of the strawberryfields backend
- Type
int
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dev
¶ device to be used to train the model
- Type
qml.device
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build
(self, weights_file=None)¶ builds the backend and the device
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check_encoding
(self)¶ Checks encoding consistency.
- Raises
ValueError if invalid encoding for CV calculation –
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initialize_weights
(self, weights_file=None)¶ Initializes weights.
- Parameters
weights_file (str) – option, if None, the weights will be initialized randomly if not None, weights will be loaded from file
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encode_data
(self, features)¶ Encodes data according to encoding method.
- Parameters
x (array) – Array of features to be embedded
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layers
(self, variables)¶ Layers of the model.
Depending on layer_type, the layers will either be custom or template
- Parameters
variables (list) – weights of the model
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output_layer
(self)¶ Output layer.
- Returns
quantum observables
- Return type
list
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