Evaluation of Equivalency Certificates for International Students using Quantum AI of Fairness and Efficiency QAA

International student mobility is essential for developing worldwide cooperation and educational exchange. However, the existing method of evaluating international academic qualifications, which frequently relies on Equivalency Certificates, encounters notable obstacles such as subjectivity, lengthy processing periods, and possible biases. In order to tackle these problems, this research suggests an innovative method that use quantum amplitude amplification (QAA) to transform the process of evaluating equivalency certificates for overseas students. QAA utilises the computing capabilities of quantum algorithms to effectively and precisely assess the comparability of educational qualifications across various academic systems. Our project seeks to optimise the equivalency certificate evaluation process by combining quantum computing and artificial intelligence approaches. This will provide a more dependable and unbiased framework for assessing the qualifications of international students. This article provides a detailed analysis of current approaches and proposes new algorithms based on QAA. The main objective is to outline a plan for using QAA in the assessment of equivalency certificates. The prospective ramifications of this strategy encompass enhanced clarity, decreased processing durations, and heightened precision in assessing the qualifications of international students, so promoting seamless transitions into higher education or employment in foreign nations. This paper reviews current equivalence assessment methodologies, proposes QAA-based algorithms tailored for this purpose, and outlines a roadmap for applying QAI to equivalency certificate evaluation. Beyond enhancing accuracy and efficiency, this research has the potential to promote global creativity and collaboration by improving the evaluation process for international students.