FRQI and NEQR Quantum Image Encoding Module v1.0.0

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This is the initial release of the FRQI and NEQR Quantum Image Encoding Module. This module provides a comprehensive set of functions for encoding and decoding images into quantum states using the Flexible Representation of Quantum Images (FRQI) and Novel Enhanced Quantum Representation (NEQR) methods.

Key Features:

• Image Preparation: Prepares images for encoding by making them square and grayscale. Supports resizing based on the number of qubits.
• FRQI Encoding: Functions for creating Qiskit circuits and statevectors for image encoding using the FRQI method.
• NEQR Encoding: Functions for encoding images into statevectors using the NEQR method.
• Decoding: Tools for decoding statevectors or measurement counts back into images.
• Metrics: Calculate Mean Squared Error (MSE) and Structural Similarity Index (SSIM) to compare image similarity.

Functions:

• image_preparation(image, num_qubits=None)
• make_circ(image, qubit)
• get_state(qc)
• get_counts(qc, qubit, shots=None)
• decoding(counts, num_qubits=None)
• calculate_mse(image1, image2)
• calculate_ssim(image1, image2)
• create_statevector(image, qubits)
• encode_image_neqr(image)
• decode_neqr(statevector)

This release aims to provide a robust foundation for quantum image processing using FRQI and NEQR methods.

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