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quant-ph2026
Quantum Interval Bound Propagation for Certified Training of Quantum Neural Networks
Emma Andrews, Nahyeon Kim, Prabhat Mishra
Quantum machine learning is a promising field for efficiently learning features of a dataset to perform a specified task, such as classification. Interval bound propagation (IBP) i…
quant-ph2026
Controlled Steering-Based State Preparation for Adversarial-Robust Quantum Machine Learning
Sahan Sanjaya, Hari Krishna Parvatham, Emma Andrews +1
Quantum machine learning (QML) provides a promising framework for leveraging quantum-mechanical effects in learning tasks. However, its vulnerability to adversarial perturbations r…
quant-ph2026
Efficient Mutation Testing of Quantum Machine Learning Models
Emma Andrews, Prabhat Mishra
Quantum machine learning integrates the strengths of quantum computing and machine learning, enabling models to learn complex features using fewer parameters than their classical c…