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Bibliographic Details
Main Authors:	Wang, Yuyang, Liu, Xin
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control Numerical Analysis Computational Physics Quantum Physics
Online Access:	https://arxiv.org/abs/2604.18357
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Quantum Adaptive Search: A Hybrid Quantum-Classical Algorithm for Global Optimization of Multivariate Functions
by: Intoccia, G., et al.
Published: (2025)

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

Adaptive Multi-Fidelity Structural Optimization under Fluid-Structure Interaction
by: Narkhede, Aditya, et al.
Published: (2026)

Classical optimization algorithms for diagonalizing quantum Hamiltonians
by: Ko, Taehee, et al.
Published: (2025)

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

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

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

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

Structure-Preserving Optimal Control of Maxwell's Equations with Applications to Source Cloaking
by: Antil, Harbir, et al.
Published: (2026)

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

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

Deep Uzawa for Kinetic Transport with Lagrange-Enforced Boundaries
by: Makridakis, Charalambos, et al.
Published: (2025)

Augmented Lagrangian method for coupled-cluster
by: Faulstich, Fabian M., et al.
Published: (2024)

Differentiable Quantum Computing for Large-scale Linear Control
by: Clayton, Connor, et al.
Published: (2024)

A Variational Framework for Residual-Based Adaptivity in Neural PDE Solvers and Operator Learning
by: Toscano, Juan Diego, et al.
Published: (2025)

Constrained dynamics for searching saddle points on general Riemannian manifolds
by: Hu, Yukuan, et al.
Published: (2026)

Stellarator Optimization with Constraints
by: Conlin, Rory, et al.
Published: (2024)

Optimal Control of Incompressible Ideal Flows with Obstacle Avoidance
by: Simoes, Alexandre Anahory, et al.
Published: (2023)

Enhanced parallelization of the incremental 4D-Var data assimilation algorithm using the Randomized Incremental Optimal Technique (RIOT)
by: Bousserez, Nicolas, et al.
Published: (2019)

The Dynamical Anatomy of Anderson Acceleration:From Adaptive Momentum to Variable-Mass ODEs
by: Chen, Kewang, et al.
Published: (2025)

An implicit shock tracking method for simulation of shock-dominated flows over complex domains using mesh-based parametrizations
by: Reyes, Alexander M. Perez, et al.
Published: (2025)

Multi-Criteria Inverse Robustness in Radiotherapy Planning Using Semidefinite Programming
by: Schröeder, Jan, et al.
Published: (2026)

A systematic literature review on the application of analytical approaches and mathematical programming in public bus transit network design and operations planning: Part II
by: Mahmoudi, Reza, et al.
Published: (2025)

A necessary condition for the guarantee of the superiorization method
by: Barshad, Kay, et al.
Published: (2025)

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

A space-time high-order implicit shock tracking method for shock-dominated unsteady flows
by: Naudet, Charles J., et al.
Published: (2023)

Modified Loss of Momentum Gradient Descent: Fine-Grained Analysis
by: Cattaneo, Matias D., et al.
Published: (2025)

Optimal alignment of Lorentz orientation and generalization to matrix Lie groups
by: Sha, Congzhou M
Published: (2025)

Quantifying uncertainty in inverse scattering problems set in layered environments
by: Abugattas, Carolina, et al.
Published: (2025)

Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control
by: Joshi, Anant A., et al.
Published: (2025)

An Abstract Lyapunov Control Optimizer: Local Stabilization and Global Convergence
by: Bensaid, Bilel, et al.
Published: (2024)

Assigning Stationary Distributions to Sparse Stochastic Matrices
by: Gillis, Nicolas, et al.
Published: (2023)

A Family of Controllable Momentum Coefficients for Forward-Backward Accelerated Algorithms
by: Fu, Mingwei, et al.
Published: (2025)

A Unified Framework from Boltzmann Transport to Proton Treatment Planning
by: Kyprianou, Andreas E., et al.
Published: (2025)

Dual Block Gradient Ascent for Entropically Regularised Quantum Optimal Transport
by: Randig, Marvin, et al.
Published: (2025)

Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares
by: Peng, Liangzu, et al.
Published: (2024)

Convergence Analysis for A Stochastic Maximum Principle Based Data Driven Feedback Control Algorithm
by: Liang, Siming, et al.
Published: (2024)

Application of quasi-Monte Carlo in Mine Countermeasure Simulations with a Stochastic Optimal Control Framework
by: Blondeel, Philippe, et al.
Published: (2025)

Policy Gradient with Second Order Momentum
by: Sun, Tianyu
Published: (2025)

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