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quant-ph2024
Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
Hao Wang, Chenyi Zhang, Tongyang Li
The problem of minimizing the maximum of convex, Lipschitz functions plays significant roles in optimization and machine learning. It has a series of results, with the most rec…
quant-ph2023
Quantum Langevin Dynamics for Optimization
Zherui Chen, Yuchen Lu, Hao Wang +2
We initiate the study of utilizing Quantum Langevin Dynamics (QLD) to solve optimization problems, particularly those non-convex objective functions that present substantial obstac…