QwayApply: estimating the probability of being admitted to university based on CSAT(Korean SAT) scores.

Open Dongyeongkim opened this issue 3 years ago • 9 comments

Abstract

Using quantum generative neural networks for estimating the probability of being admitted to university based on CSAT(Korean SAT) score.

Description

South Korea has the two types of university admission policy, based on the GPA & high school activity or based on CSAT(Korean SAT) score. Applying to university based on CSAT(Korean SAT) score is quite hard to predict of being admitted because the applicant does not know the full applicant's score and limited number of people/person can be admitted. So, if the applicant can generate the appropriate probability distribution of applicant's score, it will be much easier to predict that i can be admitted or not by estimated probability. The quantum generative neural networks are known for better performance than classical GAN[1]. Therefore, we expect that using quantum GAN for estimating the probability of being admitted to university based on CSAT score is more accurate than classical analysis.