Index

A

ABC (class in merlin.core.base) AbstractComputationProcess (class in merlin.core) (class in merlin.core.base) (class in merlin.core.process) abstractmethod() (in module merlin.core.base) AComponent (class in merlin.pcvl_pytorch.locirc_to_tensor) add() (merlin.pcvl_pytorch.locirc_to_tensor.Circuit method) Ansatz (class in merlin) (class in merlin.core) (class in merlin.core.ansatz) (class in merlin.core.layer) AnsatzFactory (class in merlin) (class in merlin.core) (class in merlin.core.ansatz) (class in merlin.core.layer)

apply() (merlin.pcvl_pytorch.locirc_to_tensor.Barrier method) (merlin.pcvl_pytorch.locirc_to_tensor.PERM method) autodiff_backend() (merlin.AutoDiffProcess method) (merlin.core.layer.AutoDiffProcess method) (merlin.sampling.autodiff.AutoDiffProcess method) (merlin.sampling.AutoDiffProcess method) AutoDiffProcess (class in merlin) (class in merlin.core.layer) (class in merlin.sampling) (class in merlin.sampling.autodiff)

B

Barrier (class in merlin.pcvl_pytorch.locirc_to_tensor) barrier() (merlin.pcvl_pytorch.locirc_to_tensor.Circuit method) break_in_2_mode_perms() (merlin.pcvl_pytorch.locirc_to_tensor.PERM method) BS (class in merlin.pcvl_pytorch.locirc_to_tensor)

build_slos_distribution_computegraph() (in module merlin) (in module merlin.core.process) (in module merlin.pcvl_pytorch) (in module merlin.pcvl_pytorch.slos_torchscript)

C

Callable (class in merlin.pcvl_pytorch.slos_torchscript) characteristics (merlin.datasets.DatasetMetadata attribute) (merlin.datasets.metadata.DatasetMetadata attribute) Circuit (class in merlin.pcvl_pytorch.locirc_to_tensor) CircuitConverter (class in merlin) (class in merlin.core.process) (class in merlin.pcvl_pytorch) (class in merlin.pcvl_pytorch.locirc_to_tensor) CircuitGenerator (class in merlin) (class in merlin.core) (class in merlin.core.ansatz) (class in merlin.core.generators) citation (merlin.datasets.DatasetMetadata attribute) (merlin.datasets.metadata.DatasetMetadata attribute) ComputationProcess (class in merlin.core) (class in merlin.core.process) ComputationProcessFactory (class in merlin.core) (class in merlin.core.ansatz) (class in merlin.core.layer) (class in merlin.core.process) compute() (merlin.core.AbstractComputationProcess method) (merlin.core.base.AbstractComputationProcess method) (merlin.core.ComputationProcess method) (merlin.core.process.AbstractComputationProcess method) (merlin.core.process.ComputationProcess method) (merlin.pcvl_pytorch.slos_torchscript.SLOSComputeGraph method)

compute_pa_inc() (merlin.pcvl_pytorch.slos_torchscript.SLOSComputeGraph method) compute_slos_distribution() (in module merlin.pcvl_pytorch.slos_torchscript) compute_unitary() (merlin.pcvl_pytorch.locirc_to_tensor.Circuit method) compute_with_keys() (merlin.core.ComputationProcess method) (merlin.core.process.ComputationProcess method) convention (merlin.pcvl_pytorch.locirc_to_tensor.BS property) copy() (merlin.pcvl_pytorch.locirc_to_tensor.Circuit method) create() (merlin.AnsatzFactory static method) (merlin.core.ansatz.AnsatzFactory static method) (merlin.core.ansatz.ComputationProcessFactory static method) (merlin.core.AnsatzFactory static method) (merlin.core.ComputationProcessFactory static method) (merlin.core.layer.AnsatzFactory static method) (merlin.core.layer.ComputationProcessFactory static method) (merlin.core.process.ComputationProcessFactory static method) create_mapping() (merlin.core.layer.OutputMapper static method) (merlin.OutputMapper static method) (merlin.sampling.mappers.OutputMapper static method) (merlin.sampling.OutputMapper static method) creators (merlin.datasets.DatasetMetadata attribute) (merlin.datasets.metadata.DatasetMetadata attribute)

D

DatasetMetadata (class in merlin.datasets) (class in merlin.datasets.metadata) decomposition() (merlin.pcvl_pytorch.locirc_to_tensor.Circuit static method) DEFAULT (merlin.core.generators.StatePattern attribute) (merlin.core.layer.StatePattern attribute) (merlin.core.photonicbackend.StatePattern attribute) (merlin.core.StatePattern attribute) (merlin.StatePattern attribute) DEFAULT_NAME (merlin.pcvl_pytorch.locirc_to_tensor.AComponent attribute) (merlin.pcvl_pytorch.locirc_to_tensor.Barrier attribute) (merlin.pcvl_pytorch.locirc_to_tensor.BS attribute) (merlin.pcvl_pytorch.locirc_to_tensor.Circuit attribute) (merlin.pcvl_pytorch.locirc_to_tensor.PERM attribute) (merlin.pcvl_pytorch.locirc_to_tensor.PS attribute) (merlin.pcvl_pytorch.locirc_to_tensor.Unitary attribute)

definition() (merlin.pcvl_pytorch.locirc_to_tensor.Barrier method) (merlin.pcvl_pytorch.locirc_to_tensor.BS method) (merlin.pcvl_pytorch.locirc_to_tensor.Circuit method) (merlin.pcvl_pytorch.locirc_to_tensor.PERM method) depths() (merlin.pcvl_pytorch.locirc_to_tensor.Circuit method) describe() (merlin.pcvl_pytorch.locirc_to_tensor.Barrier method) (merlin.pcvl_pytorch.locirc_to_tensor.BS method) (merlin.pcvl_pytorch.locirc_to_tensor.Circuit method) (merlin.pcvl_pytorch.locirc_to_tensor.PERM method) (merlin.pcvl_pytorch.locirc_to_tensor.PS method) (merlin.pcvl_pytorch.locirc_to_tensor.Unitary method) description (merlin.datasets.DatasetMetadata attribute) (merlin.datasets.metadata.DatasetMetadata attribute) (merlin.datasets.metadata.Feature attribute) df_to_xy() (in module merlin.datasets.utils) dispatch() (in module merlin.pcvl_pytorch.locirc_to_tensor)

E

encode() (merlin.core.ansatz.FeatureEncoder method) (merlin.FeatureEncoder method) (merlin.torch_utils.FeatureEncoder method) (merlin.torch_utils.torch_codes.FeatureEncoder method)

Experiment (in module merlin.core.layer)

F

Feature (class in merlin.datasets.metadata) feature_relationships (merlin.datasets.DatasetMetadata attribute) (merlin.datasets.metadata.DatasetMetadata attribute) FeatureEncoder (class in merlin) (class in merlin.core.ansatz) (class in merlin.torch_utils) (class in merlin.torch_utils.torch_codes) FeatureNormalization (class in merlin.datasets.metadata) features (merlin.datasets.DatasetMetadata attribute) (merlin.datasets.metadata.DatasetMetadata attribute) fetch() (in module merlin.datasets.utils)

find_subnodes() (merlin.pcvl_pytorch.locirc_to_tensor.Circuit method) forward() (merlin.core.layer.QuantumLayer method) (merlin.core.QuantumLayer method) (merlin.LexGroupingMapper method) (merlin.ModGroupingMapper method) (merlin.QuantumLayer method) (merlin.sampling.LexGroupingMapper method) (merlin.sampling.mappers.LexGroupingMapper method) (merlin.sampling.mappers.ModGroupingMapper method) (merlin.sampling.ModGroupingMapper method) from_dict() (merlin.datasets.DatasetMetadata class method) (merlin.datasets.metadata.DatasetMetadata class method)

G

generate_circuit() (merlin.CircuitGenerator static method) (merlin.core.ansatz.CircuitGenerator static method) (merlin.core.CircuitGenerator static method) (merlin.core.generators.CircuitGenerator static method) generate_state() (merlin.core.ansatz.StateGenerator static method) (merlin.core.generators.StateGenerator static method) (merlin.core.StateGenerator static method) (merlin.StateGenerator static method) get_data() (in module merlin.datasets.spiral) get_data_test() (in module merlin.datasets.iris) get_data_test_original() (in module merlin.datasets.mnist_digits) get_data_test_percevalquest() (in module merlin.datasets.mnist_digits) get_data_train() (in module merlin.datasets.iris)

get_data_train_original() (in module merlin.datasets.mnist_digits) get_data_train_percevalquest() (in module merlin.datasets.mnist_digits) get_index_photons_info() (merlin.core.layer.QuantumLayer method) (merlin.core.QuantumLayer method) (merlin.QuantumLayer method) get_variables() (merlin.pcvl_pytorch.locirc_to_tensor.BS method) (merlin.pcvl_pytorch.locirc_to_tensor.PS method) getitem() (merlin.pcvl_pytorch.locirc_to_tensor.Circuit method) GROUPING (merlin.core.ansatz.OutputMappingStrategy attribute) (merlin.core.layer.OutputMappingStrategy attribute) (merlin.OutputMappingStrategy attribute) (merlin.sampling.mappers.OutputMappingStrategy attribute) (merlin.sampling.OutputMappingStrategy attribute) (merlin.sampling.strategies.OutputMappingStrategy attribute)

H

H (merlin.pcvl_pytorch.locirc_to_tensor.BSConvention attribute) H() (merlin.pcvl_pytorch.locirc_to_tensor.BS static method)

homepage (merlin.datasets.DatasetMetadata attribute) (merlin.datasets.metadata.DatasetMetadata attribute)

I

inverse() (merlin.pcvl_pytorch.locirc_to_tensor.Barrier method) (merlin.pcvl_pytorch.locirc_to_tensor.BS method) (merlin.pcvl_pytorch.locirc_to_tensor.Circuit method) (merlin.pcvl_pytorch.locirc_to_tensor.PS method) (merlin.pcvl_pytorch.locirc_to_tensor.Unitary method)

is_composite() (merlin.pcvl_pytorch.locirc_to_tensor.AComponent method) (merlin.pcvl_pytorch.locirc_to_tensor.Circuit method) isolate() (merlin.pcvl_pytorch.locirc_to_tensor.Circuit method)

L

layer_compute_backward() (in module merlin.pcvl_pytorch.slos_torchscript) layer_compute_vectorized() (in module merlin.pcvl_pytorch.slos_torchscript) LEXGROUPING (merlin.core.ansatz.OutputMappingStrategy attribute) (merlin.core.layer.OutputMappingStrategy attribute) (merlin.OutputMappingStrategy attribute) (merlin.sampling.mappers.OutputMappingStrategy attribute) (merlin.sampling.OutputMappingStrategy attribute) (merlin.sampling.strategies.OutputMappingStrategy attribute) LexGroupingMapper (class in merlin) (class in merlin.sampling) (class in merlin.sampling.mappers)

license (merlin.datasets.DatasetMetadata attribute) (merlin.datasets.metadata.DatasetMetadata attribute) LINEAR (merlin.core.ansatz.OutputMappingStrategy attribute) (merlin.core.layer.OutputMappingStrategy attribute) (merlin.OutputMappingStrategy attribute) (merlin.sampling.mappers.OutputMappingStrategy attribute) (merlin.sampling.OutputMappingStrategy attribute) (merlin.sampling.strategies.OutputMappingStrategy attribute) load_slos_distribution_computegraph() (in module merlin.pcvl_pytorch.slos_torchscript)

M

m (merlin.pcvl_pytorch.locirc_to_tensor.AComponent property) match() (merlin.pcvl_pytorch.locirc_to_tensor.Circuit method) merlin module merlin.core module merlin.core.ansatz module merlin.core.base module merlin.core.generators module merlin.core.layer module merlin.core.photonicbackend module merlin.core.process module merlin.datasets module merlin.datasets.iris module merlin.datasets.metadata module merlin.datasets.mnist_digits module merlin.datasets.spiral module merlin.datasets.utils module merlin.pcvl_pytorch module merlin.pcvl_pytorch.locirc_to_tensor module merlin.pcvl_pytorch.slos_torchscript module merlin.sampling module merlin.sampling.autodiff module merlin.sampling.mappers module

merlin.sampling.process module merlin.sampling.strategies module merlin.torch_utils module merlin.torch_utils.torch_codes module method (merlin.datasets.metadata.Normalization attribute) MODGROUPING (merlin.core.ansatz.OutputMappingStrategy attribute) (merlin.core.layer.OutputMappingStrategy attribute) (merlin.OutputMappingStrategy attribute) (merlin.sampling.mappers.OutputMappingStrategy attribute) (merlin.sampling.OutputMappingStrategy attribute) (merlin.sampling.strategies.OutputMappingStrategy attribute) ModGroupingMapper (class in merlin) (class in merlin.sampling) (class in merlin.sampling.mappers) module merlin merlin.core merlin.core.ansatz merlin.core.base merlin.core.generators merlin.core.layer merlin.core.photonicbackend merlin.core.process merlin.datasets merlin.datasets.iris merlin.datasets.metadata merlin.datasets.mnist_digits merlin.datasets.spiral merlin.datasets.utils merlin.pcvl_pytorch merlin.pcvl_pytorch.locirc_to_tensor merlin.pcvl_pytorch.slos_torchscript merlin.sampling merlin.sampling.autodiff merlin.sampling.mappers merlin.sampling.process merlin.sampling.strategies merlin.torch_utils merlin.torch_utils.torch_codes

N

name (merlin.core.generators.Enum attribute) (merlin.datasets.DatasetMetadata attribute) (merlin.datasets.metadata.DatasetMetadata attribute) (merlin.datasets.metadata.Feature attribute) (merlin.pcvl_pytorch.locirc_to_tensor.AComponent property) (merlin.pcvl_pytorch.locirc_to_tensor.BS property) (merlin.sampling.strategies.Enum attribute) ncomponents() (merlin.pcvl_pytorch.locirc_to_tensor.Circuit method) NONE (merlin.core.ansatz.OutputMappingStrategy attribute) (merlin.core.layer.OutputMappingStrategy attribute) (merlin.OutputMappingStrategy attribute) (merlin.sampling.mappers.OutputMappingStrategy attribute) (merlin.sampling.OutputMappingStrategy attribute) (merlin.sampling.strategies.OutputMappingStrategy attribute)

Normalization (class in merlin.datasets.metadata) normalization (merlin.datasets.DatasetMetadata attribute) (merlin.datasets.metadata.DatasetMetadata attribute) (merlin.datasets.metadata.Feature attribute) num_classes (merlin.datasets.DatasetMetadata attribute) (merlin.datasets.metadata.DatasetMetadata attribute) num_features (merlin.datasets.DatasetMetadata attribute) (merlin.datasets.metadata.DatasetMetadata attribute) num_instances (merlin.datasets.DatasetMetadata attribute) (merlin.datasets.metadata.DatasetMetadata attribute)

O

offset (merlin.datasets.metadata.FeatureNormalization attribute) original_unit (merlin.datasets.metadata.FeatureNormalization attribute) OutputMapper (class in merlin) (class in merlin.core.layer) (class in merlin.sampling) (class in merlin.sampling.mappers)

P

PARALLEL (merlin.CircuitType attribute) (merlin.core.CircuitType attribute) (merlin.core.generators.CircuitType attribute) (merlin.core.layer.CircuitType attribute) (merlin.core.photonicbackend.CircuitType attribute) (merlin.torch_utils.torch_codes.CircuitType attribute) PARALLEL_COLUMNS (merlin.CircuitType attribute) (merlin.core.CircuitType attribute) (merlin.core.generators.CircuitType attribute) (merlin.core.layer.CircuitType attribute) (merlin.core.photonicbackend.CircuitType attribute) (merlin.torch_utils.torch_codes.CircuitType attribute) pcvl_sampler() (merlin.sampling.autodiff.SamplingProcess method) (merlin.sampling.process.SamplingProcess method) (merlin.sampling.SamplingProcess method) (merlin.SamplingProcess method)

per_feature (merlin.datasets.metadata.Normalization attribute) PERIODIC (merlin.core.generators.StatePattern attribute) (merlin.core.layer.StatePattern attribute) (merlin.core.photonicbackend.StatePattern attribute) (merlin.core.StatePattern attribute) (merlin.StatePattern attribute) PERM (class in merlin.pcvl_pytorch.locirc_to_tensor) perm_vector (merlin.pcvl_pytorch.locirc_to_tensor.PERM property) PhotonicBackend (class in merlin) (class in merlin.core) (class in merlin.core.ansatz) (class in merlin.core.photonicbackend) prepare_parameters() (merlin.core.layer.QuantumLayer method) (merlin.core.QuantumLayer method) (merlin.QuantumLayer method) prepare_vectorized_operations() (in module merlin.pcvl_pytorch.slos_torchscript) PS (class in merlin.pcvl_pytorch.locirc_to_tensor)

Q

QuantumLayer (class in merlin) (class in merlin.core) (class in merlin.core.layer)

R

r_to_theta() (merlin.pcvl_pytorch.locirc_to_tensor.BS static method) range (merlin.datasets.metadata.Normalization attribute) read_idx() (in module merlin.datasets.utils) reflectivity (merlin.pcvl_pytorch.locirc_to_tensor.BS property) replace() (merlin.pcvl_pytorch.locirc_to_tensor.Circuit method)

requires_polarization (merlin.pcvl_pytorch.locirc_to_tensor.Circuit property) Rx (merlin.pcvl_pytorch.locirc_to_tensor.BSConvention attribute) Rx() (merlin.pcvl_pytorch.locirc_to_tensor.BS static method) Ry (merlin.pcvl_pytorch.locirc_to_tensor.BSConvention attribute) Ry() (merlin.pcvl_pytorch.locirc_to_tensor.BS static method)

S

SamplingProcess (class in merlin) (class in merlin.sampling) (class in merlin.sampling.autodiff) (class in merlin.sampling.process) scale_factor (merlin.datasets.metadata.FeatureNormalization attribute) SEQUENTIAL (merlin.core.generators.StatePattern attribute) (merlin.core.layer.StatePattern attribute) (merlin.core.photonicbackend.StatePattern attribute) (merlin.core.StatePattern attribute) (merlin.StatePattern attribute) SERIES (merlin.CircuitType attribute) (merlin.core.CircuitType attribute) (merlin.core.generators.CircuitType attribute) (merlin.core.layer.CircuitType attribute) (merlin.core.photonicbackend.CircuitType attribute) (merlin.torch_utils.torch_codes.CircuitType attribute) set_dtype() (merlin.CircuitConverter method) (merlin.core.process.CircuitConverter method) (merlin.pcvl_pytorch.CircuitConverter method) (merlin.pcvl_pytorch.locirc_to_tensor.CircuitConverter method)

set_sampling_config() (merlin.core.layer.QuantumLayer method) (merlin.core.QuantumLayer method) (merlin.QuantumLayer method) simple() (merlin.core.layer.QuantumLayer class method) (merlin.core.QuantumLayer class method) (merlin.QuantumLayer class method) SLOSComputeGraph (class in merlin.pcvl_pytorch.slos_torchscript) SPACED (merlin.core.generators.StatePattern attribute) (merlin.core.layer.StatePattern attribute) (merlin.core.photonicbackend.StatePattern attribute) (merlin.core.StatePattern attribute) (merlin.StatePattern attribute) StateGenerator (class in merlin) (class in merlin.core) (class in merlin.core.ansatz) (class in merlin.core.generators) stats (merlin.datasets.metadata.Feature attribute) subset (merlin.datasets.DatasetMetadata attribute) (merlin.datasets.metadata.DatasetMetadata attribute) SUPPORTED_COMPONENTS (in module merlin.pcvl_pytorch.locirc_to_tensor)

T

task_type (merlin.datasets.DatasetMetadata attribute) (merlin.datasets.metadata.DatasetMetadata attribute) theta_to_r() (merlin.pcvl_pytorch.locirc_to_tensor.BS static method) to() (merlin.CircuitConverter method) (merlin.core.layer.QuantumLayer method) (merlin.core.process.CircuitConverter method) (merlin.core.QuantumLayer method) (merlin.pcvl_pytorch.CircuitConverter method) (merlin.pcvl_pytorch.locirc_to_tensor.CircuitConverter method) (merlin.pcvl_pytorch.slos_torchscript.SLOSComputeGraph method) (merlin.QuantumLayer method)

to_dict() (merlin.datasets.DatasetMetadata method) (merlin.datasets.metadata.DatasetMetadata method) to_tensor() (merlin.CircuitConverter method) (merlin.core.process.CircuitConverter method) (merlin.pcvl_pytorch.CircuitConverter method) (merlin.pcvl_pytorch.locirc_to_tensor.CircuitConverter method) to_text() (merlin.datasets.metadata.Feature method) (merlin.datasets.metadata.FeatureNormalization method) (merlin.datasets.metadata.Normalization method) transfer_from() (merlin.pcvl_pytorch.locirc_to_tensor.Circuit method) type (merlin.datasets.metadata.Feature attribute)

U

unit (merlin.datasets.metadata.Feature attribute)

Unitary (class in merlin.pcvl_pytorch.locirc_to_tensor)

V

value (merlin.core.generators.Enum attribute) (merlin.sampling.strategies.Enum attribute)

value_range (merlin.datasets.metadata.Feature attribute) visible (merlin.pcvl_pytorch.locirc_to_tensor.Barrier property)

Y

year (merlin.datasets.DatasetMetadata attribute) (merlin.datasets.metadata.DatasetMetadata attribute)