Cover Image

Introducing the Kernel Descent Optimizer for Variational Quantum Algorithms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Simon, Lars, Eble, Holger, Radons, Manuel
Format:	Preprint
Published:	2024
Subjects:	Quantum Physics Numerical Analysis Functional Analysis 68T99, 90C53, 49J40, 65K10, 65D05, 46N50
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inertial Methods with Viscous and Hessian driven Damping for Non-Convex Optimization
by: Maulen-Soto, Rodrigo, et al.
Published: (2024)

Discrete Approximation of Optimal Transport on Compact Spaces
by: Frungillo, Maximiliano
Published: (2024)

Denoising Gradient Descent in Variational Quantum Algorithms
by: Simon, Lars, et al.
Published: (2024)

Stochastic Inertial Dynamics Via Time Scaling and Averaging
by: Maulen-Soto, Rodrigo, et al.
Published: (2024)

Exact a posteriori error control for variational problems via convex duality and explicit flux reconstruction
by: Bartels, Sören, et al.
Published: (2024)

Adaptive SIPG method for approximations of boundary control problems governed by parabolic PDEs
by: Manohar, Ram, et al.
Published: (2025)

An SDE Perspective on Stochastic Inertial Gradient Dynamics with Time-Dependent Viscosity and Geometric Damping
by: Maulen-Soto, Rodrigo, et al.
Published: (2024)

Strong convergence and fast rates for systems with Tikhonov regularization
by: Csetnek, Ernö Robert, et al.
Published: (2024)

A semi-smooth Newton method for magnetic field problems with hysteresis
by: Egger, Herbert, et al.
Published: (2025)

Oracle-Net for nonlinear compressed sensing in Electrical Impedance Tomography reconstruction problems
by: Lazzaro, Damiana, et al.
Published: (2024)

A Scale-Shape Dual Newton Method for Entropic Least Squares
by: Barnfield, Nicholas, et al.
Published: (2026)

Fast convex optimization via closed-loop time scaling of gradient dynamics
by: Attouch, Hedy, et al.
Published: (2023)

Network Inpainting via Optimal Transport
by: Facca, Enrico, et al.
Published: (2024)

Companion-Based Multi-Level Finite Element Method for Computing Multiple Solutions of Nonlinear Differential Equations
by: Hao, Wenrui, et al.
Published: (2023)

Numerical modeling and open-source implementation of variational partition-of-unity localizations of space-time dual-weighted residual estimators for parabolic problems
by: Thiele, Jan Philipp, et al.
Published: (2022)

Generalized Steepest Descent Methods on Riemannian Manifolds and Hilbert Spaces: Convergence Analysis and Stochastic Extensions
by: A., Rashid, et al.
Published: (2025)

Localization of tumor through a non-conventional numerical shape optimization technique
by: Rabago, Julius Fergy Tiongson
Published: (2025)

Tikhonov Regularization for Stochastic Non-Smooth Convex Optimization in Hilbert Spaces
by: Maulen-Soto, Rodrigo, et al.
Published: (2024)

A continuous scale space of diffeomorphisms
by: Liu, Yechen, et al.
Published: (2025)

Projected gradient descent accumulates at Bouligand stationary points
by: Olikier, Guillaume, et al.
Published: (2024)

Variational problems with gradient constraints: $\textit{A priori}$ and $\textit{a posteriori}$ error identities
by: Antil, Harbir, et al.
Published: (2024)

Residual Recombination Methods as Anderson-like Acceleration: An Algebraic Interpretation of BoostConv
by: Citro, Vincenzo, et al.
Published: (2026)

Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel
by: Khamlich, Moaad, et al.
Published: (2023)

Adaptive finite element methods for partial differential equations
by: Rannacher, Rolf
Published: (2003)

Sensitivity of low-rank matrix recovery
by: Breiding, Paul, et al.
Published: (2021)

Error analysis for a Crouzeix-Raviart approximation of the $p$-Dirichlet problem
by: Kaltenbach, Alex
Published: (2022)

Enhancing Future Prediction of Linear and Nonlinear Reduced-Order Models for Transport-Dominated Problems Using Lagrangian Data
by: Li, Meng, et al.
Published: (2026)

When can forward stable algorithms be composed stably?
by: Beltrán, Carlos, et al.
Published: (2021)

Algorithmic approaches to avoiding bad local minima in nonconvex inconsistent feasibility
by: Dinh, Thi Lan, et al.
Published: (2025)

Adaptive Computation of Elliptic Eigenvalue Topology Optimization with a Phase-Field Approach
by: Li, Jing, et al.
Published: (2023)

Generalized Perron Roots and Solvability of the Absolute Value Equation
by: Radons, Manuel, et al.
Published: (2019)

Optimal control of fractional Poisson equation from non-local to local
by: Manohar, Ram, et al.
Published: (2025)

Computing Optimal Trajectories for Optimal Transport in Nonuniform Environments
by: Dieci, Luca, et al.
Published: (2025)

Analysis of a Discontinuous Galerkin Method for Diffusion Problems on Intersecting Domains
by: Kuchta, Miroslav, et al.
Published: (2025)

An $r$-adaptive finite element method using neural networks for parametric self-adjoint elliptic problem
by: Aballay, Danilo, et al.
Published: (2025)

Truncated Huber Penalty for Sparse Signal Recovery with Convergence Analysis
by: Yang, Li, et al.
Published: (2025)

Gaussian Variational Schemes on Bounded and Unbounded Domains
by: Actor, Jonas A., et al.
Published: (2024)

Solving Semi-Discrete Optimal Transport Problems: star shapedeness and Newton's method
by: Dieci, Luca, et al.
Published: (2023)

Extended Finite Elements for 3D-1D coupled problems via a PDE-constrained optimization approach
by: Grappein, Denise, et al.
Published: (2022)

A five field formulation for flow simulations in porous media with fractures and barriers via an optimization based domain decomposition method
by: Scialò, Stefano
Published: (2024)