Adding plugins to your computation stack

A plugin is a tool which can be link to a QPU to make the computation stack more powerful. A plugin is used to pre-process batches sended to a QPU and/or post-process results of a QPU. When a Plugin is linked to a QPU, a new QPU is created. For instance, the following code defines a new QPU where each batch sended to this object is pre-processed and each result is post-processed by the plugin "Plugin()":

my_qpu = Plugin() | QPU()

The QLM provides classes to define your own plugin, an example of custom plugin is presented in this tutorial.

Moreover, some plugins are already implemented in the QLM:

• Quameleon plugin: this plugin is used to simulate hardware specs for any QPU
• the observable splitter plugin can be used to tranform observable sampling into computational basis sampling
• the circuit inliner can be used to inline the content of a circuit in its main (in case some other Plugin needs to access the inlined circuit)

Finally, this notebook shows how to write your own QLM compatible plugin.