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cs.LG2025
Generative Model Unlearning: A Survey through Target Events, Unlearning Operators, and Evaluation Protocols
Xiaohua Feng, Jiaming Zhang, Fengyuan Yu +7
With the rapid advancement of generative models, privacy, copyright, safety, and reliability risks have attracted growing attention. To mitigate these risks, machine unlearning has…
quant-ph2025
Experimental realization of the bucket-brigade quantum random access memory
Fanhao Shen, Yujie Ji, Debin Xiang +20
Quantum random access memory (QRAM) enables efficient classical data access for quantum computers -- a prerequisite for many quantum algorithms to achieve quantum speedup. Despite…
quant-ph2025★ 3 cited
Choco-Q: Commute Hamiltonian-based QAOA for Constrained Binary Optimization
Debin Xiang, Qifan Jiang, Liqiang Lu +2
Constrained binary optimization aims to find an optimal assignment to minimize or maximize the objective meanwhile satisfying the constraints, which is a representative NP problem…