Quantum score matching with applications to learning thermal states
Quantum score matching learns Gibbs states optimally at high temperature and runs on IBM hardware.
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Quantum score matching learns Gibbs states optimally at high temperature and runs on IBM hardware.
Framework certifies adversarial robustness of quantum classifiers using only measurement statistics and finite-shot outcomes, demonstrated on IBM Quantum hardware.
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