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20192023
most citedA Convergence Theory for Over-parameterized Variational Quantum Eigensolvers

18 citations · 52 across the 5 of their papers we have counts for

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5 papers

quant-ph2023★ 3 cited

Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels

Xuchen You, Shouvanik Chakrabarti, Boyang Chen +1

A quantum neural network (QNN) is a parameterized mapping efficiently implementable on near-term Noisy Intermediate-Scale Quantum (NISQ) computers. It can be used for supervised le…

quant-ph2022★ 18 cited

A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers

Xuchen You, Shouvanik Chakrabarti, Xiaodi Wu

The Variational Quantum Eigensolver (VQE) is a promising candidate for quantum applications on near-term Noisy Intermediate-Scale Quantum (NISQ) computers. Despite a lot of empiric…

quant-ph2021★ 4 cited

Exponentially Many Local Minima in Quantum Neural Networks

Xuchen You, Xiaodi Wu

Quantum Neural Networks (QNNs), or the so-called variational quantum circuits, are important quantum applications both because of their similar promises as classical neural network…

quant-ph2020★ 17 cited

Quantum exploration algorithms for multi-armed bandits

Daochen Wang, Xuchen You, Tongyang Li +1

Identifying the best arm of a multi-armed bandit is a central problem in bandit optimization. We study a quantum computational version of this problem with coherent oracle access t…

cs.LG2019★ 10 cited

On Second-Order Group Influence Functions for Black-Box Predictions

Samyadeep Basu, Xuchen You, Soheil Feizi

With the rapid adoption of machine learning systems in sensitive applications, there is an increasing need to make black-box models explainable. Often we want to identify an influe…