3 papers
cs.LO2026
Central Limits via Dilated Categories
Henning Basold, Oisín Flynn-Connolly, Chase Ford +1
The Central Limit Theorem (CLT) establishes that sufficiently large sequences of independent and identically distributed random variables converge in probability to a normal distri…
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…