Cover Image

Classical optimization algorithms for diagonalizing quantum Hamiltonians

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ko, Taehee, Choi, Sangkook, Park, Hyowon, Li, Xiantao
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Numerical Analysis Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantum random power method for ground state computation
by: Ko, Taehee, et al.
Published: (2024)

Random coordinate descent: a simple alternative for optimizing parameterized quantum circuits
by: Ding, Zhiyan, et al.
Published: (2023)

Quantum Adaptive Search: A Hybrid Quantum-Classical Algorithm for Global Optimization of Multivariate Functions
by: Intoccia, G., et al.
Published: (2025)

Structure-preserving quantum algorithms for linear and nonlinear Hamiltonian systems
by: Wu, Hsuan-Cheng, et al.
Published: (2024)

H-DES: a Quantum-Classical Hybrid Differential Equation Solver
by: Jaffali, Hamza, et al.
Published: (2024)

Trotter error bounds and dynamic multi-product formulas for Hamiltonian simulation
by: Zhuk, Sergiy, et al.
Published: (2023)

Full- and low-rank exponential midpoint schemes for forward and adjoint Lindblad equations
by: Chen, Hao, et al.
Published: (2025)

Stability Preserving Data-driven Models With Latent Dynamics
by: Luo, Yushuang, et al.
Published: (2022)

Fermionic-Adapted Shadow Tomography for dynamical correlation functions
by: Ko, Taehee, et al.
Published: (2025)

An adaptive importance sampling algorithm for risk-averse optimization
by: Pieraccini, Sandra, et al.
Published: (2025)

Symplectic H2 Model Reduction for High-Dimensional Linear Quantum Systems
by: Borzi, Alfo, et al.
Published: (2026)

An efficient algorithm for entropic optimal transport under martingale-type constraints
by: Tang, Xun, et al.
Published: (2025)

Augmented Lagrangian methods for infeasible convex optimization problems and diverging proximal-point algorithms
by: Andrews, Roland, et al.
Published: (2025)

An approximate Itô-SDE based simulated annealing algorithm for multivariate design optimization problems
by: Batou, A.
Published: (2019)

Structure-Preserving Optimal Control of Open Quantum Systems via a Discrete Contact PMP
by: Colombo, Leonardo
Published: (2025)

Momentum Stability and Adaptive Control in Stochastic Reconfiguration
by: Wang, Yuyang, et al.
Published: (2026)

Primal-dual interior-point algorithm for linearly constrained convex optimization based on a parametric algebraic transformation
by: Kraria, Aicha, et al.
Published: (2024)

MLMC-qDRIFT: Multilevel Variance Reduction for Randomized Quantum Hamiltonian Simulation
by: Mohammadipour, Pegah, et al.
Published: (2026)

Analytic and Stochastic Approach to Quantum Advantages in Ground State and Quantum State Preparation Problems
by: Ko, Taehee, et al.
Published: (2025)

Interpolation-based coordinate descent method for parameterized quantum circuits
by: Lai, Zhijian, et al.
Published: (2025)

Moving-Boundary Port-Hamiltonian Systems
by: Meijer, T. J., et al.
Published: (2025)

Symplectic Stiefel manifold: tractable metrics, second-order geometry and Newton's methods
by: Gao, Bin, et al.
Published: (2024)

An inertial minimal-deformation-rate framework for shape optimization
by: Chen, Falai, et al.
Published: (2026)

State-dependent temperature control in Langevin diffusions using numerical exploratory Hamiltonian-Jacobi-Bellman equations
by: Wang, Taorui, et al.
Published: (2026)

Tensor train based sampling algorithms for approximating regularized Wasserstein proximal operators
by: Han, Fuqun, et al.
Published: (2024)

Characterizing matrices with eigenvalues in an LMI region: A dissipative-Hamiltonian approach
by: Choudhary, Neelam, et al.
Published: (2022)

Derivative-free optimization is competitive for aerodynamic design optimization in moderate dimensions
by: Plaban, Punya, et al.
Published: (2025)

Automatic discovery of optimal meta-solvers via multi-objective optimization
by: Lee, Youngkyu, et al.
Published: (2024)

GPU-accelerated FREDopt package for simultaneous dose and LETd proton radiotherapy plan optimization via superiorization methods
by: Borys, Damian, et al.
Published: (2025)

On the optimization of discrepancy measures
by: Clément, François, et al.
Published: (2025)

Quantum medical image encoding and compression using Fourier-based methods
by: Ko, Taehee, et al.
Published: (2025)

A Type II Hamiltonian Variational Principle and Adjoint Systems for Lie Groups
by: Tran, Brian K., et al.
Published: (2023)

Structure-Preserving Linear Quadratic Gaussian Balanced Truncation for Port-Hamiltonian Descriptor Systems
by: Breiten, Tobias, et al.
Published: (2021)

Adaptive projected SOR algorithms for nonnegative quadratic programming
by: Miyatake, Yuto, et al.
Published: (2021)

Quantum Stochastic Gradient Descent in its continuous-time limit based on the Wigner formulation of Open Quantum Systems
by: Escalante, Jose A. Morales
Published: (2025)

Finding the nearest bounded-real port-Hamiltonian system
by: Cherifi, Karim, et al.
Published: (2025)

A preconditioned second-order convex splitting algorithm with extrapolation
by: Shen, Xinhua, et al.
Published: (2025)

The bilinear Hessian for large scale optimization
by: Carlsson, Marcus, et al.
Published: (2025)

Variable aggregation for nonlinear optimization problems
by: Naik, Sakshi, et al.
Published: (2025)

Numerical analysis of a first-order computational algorithm for reaction-diffusion equations via the primal-dual hybrid gradient method
by: Liu, Shu, et al.
Published: (2024)