Haozhen Situ

Machine learning distributions of quantum ansatz with hierarchical structure

2020 · International Journal of Modern Physics B

Machine learning techniques can help to represent and solve quantum systems. Learning measurement outcome distribution of quantum ansatz is useful for characterization of near-term quantum computing devices. In this work, we use the popular unsupervised …

From Membership-Privacy Leakage to Quantum Machine Unlearning

2025 · arXiv (Cornell University)

Quantum machine learning (QML) has the potential to achieve quantum advantage for specific tasks by combining quantum computation with classical machine learning (ML). In classical ML, a significant challenge is membership-privacy leakage, whereby an attacker …