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Start a qadence_libs.statistics for this type of utilities.

Some tests in Qadence require constructors. They should either: 1) be moved to libs 2) Simplified in Qadence to avoid circular imports.

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Currently, the rydberg_feature_map here does not pass any value for omega to AnalogRot which then defaults to 0.

Thus, the Hamiltonian for the Feature map turns out to be something like:

H/h = ∑ᵢ( - δnᵢ) + Hᵢₙₜ.

And with the interaction term being an NN term, this means the Hamiltonian has no driving term at all. Which would mean, if the state that this block gets is the zero state, then nothing drives the state to other states, and we would be left in the zero state.

Considering this is the feature map, we are pretty likely to start with zero state. Thus, it would fail to encode the feature at all.

Need to provide an appropriate driving term to the feature map.

In qadence.blocks.manipulate there is some functionality to convert qadence to and from openfermion. This is not widely used but has been used afaik by Igor in the past. I was going to deprecate it for removal, but maybe it can move into qadence_libs.

[ ] Move the relevant files
[ ] Move tests in test_manipulate.py
[ ] Probably remove the ones from test_operators.py
[ ] Move openfermion dependency from qadence to qadence libs

Currently these metrics are used but copied in protocols tests. It would make sense to have them accessible to all packages that require them to run tests.

Currently, constructing QNNs requires a bunch of boilerplate code that needs to be repeated, especially when benchmarking different techniques relating to the definition of feature maps, ansatz and the observable used.

Have helper function build_qnn that creates a Qadence QNN and takes the configuration of the feature map (FeatureMapConfig), of the ansatz (AnsatzConfig) and the observable (ObservableConfig).

fm_config = FeatureMapConfig(
    num_features=1,
    basis_set=BasisSet.CHEBYSHEV,
    reupload_scaling=ReuploadScaling.TOWER,
    feature_range=(-1.2, 1.2),
    feature_map_strategy="digital",
    multivariate_strategy="series",
)

ansatz_config = AnsatzConfig(
    num_layers=2,
    ansatz_type="hea",
    ansatz_strategy="rydberg",
)

obs_config = ObservableConfig(detuning_strength="z")

f = build_qnn_model(
    register=3,
    fm_config=fm_config,
    ansatz_config=ansatz_config,
    observable_config=obs_config,
)

The link in README to the code of conduct is broken due to a missing file.

@dominikandreasseitz @eduardo to coordinate for the issues on Qadence.

Points to consider:

• Issue on loading QNN

Move to qadence_libs.models.

Maybe also move the current Overlap? It inherits from QuantumModel.

• In ./module for ml_tools
• Migrate tests
• Add libs.py

Fully move to qadence_libs.ml_tools.

But put the TransformedModule in qadence_libs.models

Relates #6

From qadence.constructors, the following sub-modules can be moved to qadence-libs.constructors:

• ansatze.py
• feature_maps.py
• iia.py
• qft.py
• rydberg_feature_maps.py
• rydberg_hea.py

The following sub-modules remain, which I feel like they belong in qadence. We can discuss about the best place to put them.

• daqc
• hamiltonian_factory.py