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@@ -27,6 +27,7 @@ When combined in sequence, these three procedures represent a recipe for system
    :maxdepth: 4
    :caption: Contents:
 
+   intro
    two_qubits
    optimal_control
    Simulated_calibration
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+Introduction to :math:`C^3` Toolset
+====================================
+
+In this section, we go over the foundational components and concepts in :math:`C^3` with the 
+primary objective of understanding how the different sub-modules inside the :code:`c3-toolset`
+are structured, the purpose they serve and how to tie them together into a complete Automated
+Quantum Device Bring-up workflow. For more detailed examples of how to use the :code:`c3-toolset`
+to perform a specific Quantum Control task, please check out the :doc:`two_qubits` or the 
+:doc:`Simulated_calibration` sections or refer to the :doc:`c3` for descriptions of 
+Classes and Functions.
+
+
+The Building Blocks
+--------------------
+
+There are three basic building blocks that form the foundation of all the modelling and calibration 
+tasks one can perform using :code:`c3-toolset`, and depending on the use-case, some or all of these
+blocks might be useful. These are the following:
+
+Quantum Device Model
+~~~~~~~~~~~~~~~~~~~~~
+
+A theoretical Physics-based model of the Quantum Processing Unit. This is encapsulated by the 
+:code:`Model` class which consists of objects from the :code:`chip` and :code:`tasks` library.
+:code:`chip` contains Hamiltonian models of different kinds of qubit realisations, along with
+their couplings while :code:`tasks` let you perform common operations such as qubit initialisation or
+readout. A typical :code:`Model` object would contain objects encapsulating qubits along with their 
+interactions as drive lines and tasks, if any.
+
+Classical Control Electronics
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+A digital twin of the electronic control stack associated with the Quantum Processing Unit. The
+:code:`Generator` class contains the required encapsulation in the form of :code:`devices` which
+help model the behaviour of the classical control electronics taking account of their imperfections and 
+physical realisations. The devices e.g, an LO or an AWG or a Mixer are wired together in the 
+:code:`Generator` object to form a complete representation of accessory electronics.
+
+Instructions
+~~~~~~~~~~~~~~
+Once there is a software model for the QPU and the control electronics, one would need to define 
+Instructions or operations to be perform on this device. For gate-based quantum computing , this is 
+in the form of gates and their underlying pulse operations. Pulse shapes are described through a 
+:code:`Envelope` along with a :code:`Carrier`, which are then wrapped up in the form of :code:`Instruction` 
+objects. The sequence in which these gates are applied are not defined at this stage.
+
+
+.. warning::
+    Components inside the :code:`c3/generator/` and :code:`c3/signal/` sub-modules will be restructured 
+    in an upcoming release to be more consistent with how the :code:`Model` class encapsulates smaller 
+    blocks present in the :code:`c3/libraries` sub-module.
+
+
+Parameter Map
+--------------
+
+The :code:`ParameterMap` helps to obtain an optimizable vector of parameters from the various theoretical 
+models previously defined. This allows for a simple interface to the optimization algorithms which are tasked
+with optimizing different sets of variables used to define some entity, e.g, optimizing pulse parameters by 
+calibrating on hardware or providing an optimal gate-set through model-based quantum control.
+
+Experiments
+-------------
+
+With the building blocks in place, we can bring them all together through an :code:`Experiment` object that
+encapsulates the device model, the control signals, the instructions and the parameter map. Note that depending on
+the use only some of the blocks are essential when building the experiment.
+
+Optimizers
+-----------
+
+At its core, :code:`c3-toolset` is an optimization framework and all of the three steps - Open-Loop, Calibration and 
+Model Learning can be defined as a optimization task. The :code:`optimizers` contain classes that provide 
+helpful encapsulation for these steps. These objects take as arguments the previously defined :code:`Experiment` and 
+:code:`ParameterMap` objects along with an :code:`algorithm` e.g, :code:`CMA-eS` or :code:`L-BFGS` which performs 
+the iterative optimization steps.
+
+Libraries
+----------
+
+The :code:`c3/libraries` sub-module includes various helpful library of components that are used somewhat like lego
+pieces when building the bigger blocks, e.g, :code:`hamiltonians` for the :code:`chip` present in the :code:`Model`
+or :code:`envelopes` defining a control :code:`pulse`. More details about these components are available in the
+:doc:`c3.libraries` section.