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Improving Trainability of Variational Quantum Circuits via Regularization Strategies
In the era of noisy intermediate-scale quantum (NISQ), variational quantum circuits (VQCs) have been widely applied in various domains, advancing the superiority of quantum circuits against classic models.
Quantum Heavy-tailed Bandits
In this paper, we study multi-armed bandits (MAB) and stochastic linear bandits (SLB) with heavy-tailed rewards and quantum reward oracle.
Estimating Stochastic Linear Combination of Non-linear Regressions Efficiently and Scalably
To the best of our knowledge, this is the first work that studies and provides theoretical guarantees for the stochastic linear combination of non-linear regressions model.
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