parameters.json

{
    "encoder": {
        "num_of_layers": [20],
        "num_of_tests": 1,
        "opt_algorithm": "LBFGS",
        "method": "reck",
        "simple_cost": false,
        "phi": null,
        "num_of_evaluations": 1000,
        "ancillae": [0],
        "n_photons": 4,
        "m_modes": 2,
        "code_name": "n4m2",
        "gen_encoder_inputs": true,
        "use_last_layer_as_guess": false,

        "print_every": 10,
        "verbose": true,
        "save_data": false
    },

    "decoder": {
        "num_of_layers": [180],
        "num_of_tests": 1,
        "opt_algorithm": "LBFGS",
        "method": "reck",
        "simple_cost": false,
        "loss_function": "bosonic_density_loss",
        "loss_kwargs": {
            "n": 4,
            "m": 2,
            "eta": 0.05
        },
        "phi": null,
        "num_of_evaluations": 2000,
        "ancillae": [1, 1],
        "n_photons": 4,
        "m_modes": 2,
        "code_name": "n4m2",
        "gen_encoder_inputs": false,
        "use_last_layer_as_guess": false,

        "print_every": 10,
        "verbose": true,
        "save_data": false
    },

    "qgate": {
        "num_of_layers": [5],
        "num_of_tests": 1,
        "opt_algorithm": "LBFGS",
        "method": "reck",
        "simple_cost": false,
        "phi": null,
        "num_of_evaluations": 2000,
        "ancillae": [0],
        "n_photons": 2,
        "m_modes": 2,
        "code_name": "CNOT",
        "gen_encoder_inputs": true,
        "use_last_layer_as_guess": false,

        "print_every": 10,
        "verbose": true,
        "save_data": false
    }
}