API reference

Merlin - Photonic Quantum Neural Networks for PyTorch

A comprehensive framework for integrating photonic quantum circuits into PyTorch neural networks with automatic differentiation support.

Packages

merlin.algorithms package	Quantum layers, kernels, feed-forward blocks, and training utilities.
merlin.builder package	Circuit construction utilities and builder abstractions.
merlin.bridge package	Conversions between qubit-style and photonic/Fock representations.
merlin.core package	MerLin’s main data, processor, components, and computation-space objects.
merlin.datasets package	Dataset loaders and metadata helpers.
merlin.measurement package	Measurement strategies, detectors, mappers, autodiff, and sampling tools.
merlin.pcvl_pytorch package	Perceval-to-PyTorch conversion and SLOS compute-graph utilities.
merlin.utils package	Shared utility helpers for grouping, dtypes, normalization, and deprecations.