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docs: add new documentation sections and mark them as under development
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docs/architecture.rst

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Architecture
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============
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This section describes the internal design of QML-HCS, including its modular
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quantum-classical architecture and interaction between core components.
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.. warning::
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🚧 These sections are currently under active development.
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Content will be expanded soon with detailed explanations, diagrams, and examples.

docs/benchmarks.rst

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Benchmarks / Performance
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========================
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This section presents benchmark results comparing QML-HCS to classical
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machine learning models, highlighting speed, efficiency, and scalability.
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🚧 These sections are currently under active development.
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docs/changelog.rst

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Changelog / Versioning
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======================
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Version history and updates for QML-HCS.
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docs/examples.rst

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.. _examples:
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Examples
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========
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Quickstart / Tutorials
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======================
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This section contains independent runnable examples of the QML-HCS system.
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Each link below opens a separate page with the full documentation of that example.

docs/getting_started.rst

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.. _getting_started:
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Getting Started
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===============
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Installation
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============
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This section guides you through installing, configuring, and verifying **QML-HCS** —
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the *Quantum Machine Learning Hypercausal System*.

docs/index.rst

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:caption: Contents
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Overview <self>
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getting_started
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examples
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architecture
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theory
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integration
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benchmarks
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changelog
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contributing
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source/modules
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modules/api_overview
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GitHub Repository <https://github.com/Neureonmindflux-Research-Lab/qml-hcs>
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docs/integration.rst

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Integration
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===========
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This section shows how QML-HCS integrates with external frameworks such as
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Qiskit, PennyLane, and PyTorch for hybrid workflows.
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docs/modules/api_overview.rst

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API Overview
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============
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.. toctree::
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:maxdepth: 2
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:titlesonly:
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Backends <qmlhc/backends/index>
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Callbacks <qmlhc/callbacks/index>
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Core Engine <qmlhc/core/index>
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Examples <qmlhc/examples/index>
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Hypercausal Graph <qmlhc/hc/index>
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Loss Functions <qmlhc/loss/index>
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Metrics <qmlhc/metrics/index>
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Optimization <qmlhc/optim/index>
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Predictors <qmlhc/predictors/index>
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Backends
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========
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Submodules
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----------
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.. toctree::
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:maxdepth: 1
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:titlesonly:
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C++ Backend (pybind11) <qmlhc.backends.cpp_backend>
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PennyLane Backend <qmlhc.backends.pennylane_backend>
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Qiskit Backend <qmlhc.backends.qiskit_backend>
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C++ Backend (pybind11)
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======================
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.. automodule:: qmlhc.backends.cpp_backend
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:members:
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:undoc-members:
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:show-inheritance:
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