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صفحه اصلی
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اولین همایش بین المللی هوش مصنوعی
Efficient and Accurate Fairness Verification for Quantum Variational Circuits
نویسندگان :
Sajjad Hashemian Meymandi
1
Mohammad Saeed Arvenaghi
2
1- Faculty of Mathematics, Statistics and Computer Science University of Tehran
2- Faculty of Mathematics and Computer Science Iran University of Science & Technology
کلمات کلیدی :
Fairness Verification،Quantum Variational Circuits،Quantum Machine Learning
چکیده :
We propose a formal framework for fairness verification in Quantum Machine Learning models, specifically focusing on Quantum Variational Circuits. Our approach improves upon existing methods by simplifying the fairness verification process by formulating the problem as convex programming. We present a theorem establishing that the fairness of a QVC can be verified by calculating the Lipschitz constant of the decision model. Our results provide a more efficient algorithm for fairness verification, applicable to larger quantum systems.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0
