Contributed to the Qiskit/documentation repository by enhancing the Pauli Correlation Encoding tutorial, focusing on both educational clarity and technical scalability. The work involved restructuring the tutorial with template-based formatting, explicit learning outcomes, and prerequisites to improve user comprehension. Leveraging mathematics and quantum computing expertise, the developer introduced efficiency optimizations that demonstrated encoding of 1500-node graphs using only 33 qubits, compared to the previous requirement of 100 qubits for 1000 nodes. Mathematical explanations were added to clarify the node-qubit relationship, and collaborative contributions were documented through co-authorship. The project was implemented in Python, emphasizing tutorial development and optimization techniques.