QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning

2 November 2022

Papers citing "QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning"

3 / 3 papers shown

Title
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels Xuchen You Shouvanik Chakrabarti Boyang Chen Xiaodi Wu 32 10 0 26 Mar 2023
A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers Xuchen You Shouvanik Chakrabarti Xiaodi Wu 50 34 0 25 May 2022
Learning to Forecast Dynamical Systems from Streaming Data D. Giannakis Amelia Henriksen J. Tropp Rachel A. Ward AI4TS 33 17 0 20 Sep 2021