# The full config for inferring the QC-AAN model.
# The mode of this config. Available values: 'train' | 'inference'.
mode = 'inference'
# The name of the model, which is used to save the model.
# model_name = 'qcaan-model'
# The path to load the parameters of the trained model. Both relative and absolute paths are allowed.
params_path = "params"
# The number of qubits which the quantum circuit contains.
num_qubits = 8
# The number of depths of complex entangled layers which the quantum circuit contains.
num_depths = 4
# latent feature numbers which represents the input dimension of the generator.
latent_dim = 16
# The manual seed for reproducibility.
manual_seed = 20230313