Efficient Mutation Testing of Quantum Machine Learning Models

ArXi:2605.00107v1 Announce Type: cross Quantum machine learning integrates the strengths of quantum computing and machine learning, enabling models to learn complex features using fewer parameters than their classical counterparts. Due to the increasing complexity of quantum machine learning models, it is necessary to verify that the implementation of these models satisfy the design specification and be free of bugs and faults.