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 Overview class is responsible for generating the PDF section that provides an overview of the training environment.
Description:
Page 1 includes a description, which must be provided in a specific format and can be found in var/visual/visual.json under the key description.
This description uses Aptos font, size 12, and should not extend beyond the LILY logo. Calculate the character limit based on this space and set a maximum character count. An error should be displayed if the limit is exceeded.
Macro Data:
All macro data is located in data.json.
Optimizers:
Each optimizer has a set of unique properties. For example:
Adjust the table layout according to the number of properties for each optimizer, ensuring each optimizer and its properties are included in the overview.
[Uploading OVERVIEW.pdf…]()
Location:
module/helper
The
Overview
class is responsible for generating the PDF section that provides an overview of the training environment.Description:
var/visual/visual.json
under the keydescription
.Macro Data:
data.json
.Optimizers: