LLY-DML is part of the LILY project and is a Quantum Machine Learning model. It uses so-called L-Gates. These gates are Machine Learning gates that modify their state based on an input to map to a desired state of an input.
The Crosstrainer class represents the final training phase of optimizations, demonstrating how the affinity of input values for a specific state changes over the course of stacked training.
Each segment will be assigned its own page. Tables and plot charts should automatically allocate based on the number of target states available. However, a maximum limit will be set to ensure clarity.
CROSSTRAINIER.pdf module/helper
Class
CrosstrainerThe
Crosstrainerclass represents the final training phase of optimizations, demonstrating how the affinity of input values for a specific state changes over the course of stacked training.