论文
已发表与已接收论文
A human-AI collaborative workflow for mathematical discovery: a case study in Grover-compatible Riemannian optimization
Retraction-free optimization over the Stiefel manifold for the LoRA fine-tuning
Achieving double-logarithmic precision dependence in optimization-based quantum unstructured search
A Grover-compatible manifold optimization algorithm for quantum search
Interpolation-based coordinate descent method for parameterized quantum circuits
Extended parameter-shift rules with minimal derivative variance for parameterized quantum circuits
Hyperbolic contrastive learning for cross-domain recommendation
Riemannian interior point methods for constrained optimization on manifolds
Completely positive factorization by a Riemannian smoothing method
预印本
Pauli-structured preconditioning for quantum linear system solvers
Quantum circuit design from a retraction-based Riemannian optimization framework
学位论文
Riemannian Optimization Algorithms for Applications and Their Theoretical Properties
A New Method for Completely Positive Matrix Factorization