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Quantum neural network with ensemble learning to mitigate barren plateaus and cost function concentration., and . CoRR, (2024)Entropy Stable p-Nonconforming Discretizations with the Summation-by-Parts Property for the Compressible Navier-Stokes Equations., , , , , , and . CoRR, (2019)Conservative and Stable Degree Preserving SBP Operators for Non-conforming Meshes., , , , , and . J. Sci. Comput., 75 (2): 657-686 (2018)Avoiding Barren Plateaus with Classical Deep Neural Networks., and . CoRR, (2022)The quantum cost function concentration dependency on the parametrization expressivity., and . CoRR, (2023)Entropy Stable Space-Time Discontinuous Galerkin Schemes with Summation-by-Parts Property for Hyperbolic Conservation Laws., , , , , and . J. Sci. Comput., 80 (1): 175-222 (2019)Natural evolutionary strategies applied to quantum-classical hybrid neural networks., and . CoRR, (2022)An Entropy Stable h / p Non-Conforming Discontinuous Galerkin Method with the Summation-by-Parts Property., , , , , and . J. Sci. Comput., 77 (2): 689-725 (2018)Restricting to the chip architecture maintains the quantum neural network accuracy., and . Quantum Inf. Process., 23 (4): 131 (April 2024)Restricting to the chip architecture maintains the quantum neural network accuracy, if the parameterization is a 2-design., and . CoRR, (2022)