User Guide
Here are a few pages to guide you through your MerLin usage.
Compatibility
Hardware aware design
Master the QuantumLayer
QuantumLayer essentials
The essentials for using MerLin's main module: the QuantumLayer.
Angle and Amplitude Encoding
Introduction to these two encoding strategies and their tradeoffs.
Encoding Spaces
Interpret PyTorch amplitude tensors with EncodingSpace.
Master the output types and sizes
Measurement Strategy Guide
An overview of the measurement strategies in MerLin.
Computation Spaces Guide
An overview of the computation spaces in MerLin.
A guide to grouping
Master the output sizes of your QuantumLayers with grouping.
Mixing gates and interferometers
Noisy simulations
Ready to use quantum models
Photonic QGAN
Photonic quantum generative adversarial network
Photonic QCNN
Photonic quantum convolutional neural network for image classification
ReservoirClassifier
Frozen quantum optical reservoir with a trainable linear readout.
Send your code to simulators or QPUs
Specific algorithms
Feedforward circuits
Circuits using partial measurements to determine the configuration of the downstream circuit.
Kernels
Introduction to photonic quantum kernel algorithms.