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quant-ph2026
Margin-Based Generalization for Quantum Machine Learning with Classical Data Encoding
Ju-Young Ryu, Tak Hur, Daniel K. Park
Understanding generalization is essential for assessing the practical viability of quantum machine learning. In many applications, quantum models operate on classical data that mus…
quant-ph2026
Deployment of Large IQP Circuit Born Machines on Qubit-Limited Hardware Using Noise Injection
Ju-Young Ryu, Wooyeong Song, Kwangil Bae +2
Quantum circuit Born machines (QCBMs) built with instantaneous quantum polynomial (IQP) circuits have loss functions that can be efficiently estimated classically, but require quan…