A Grover-compatible manifold optimization algorithm for quantum search
Fuente:
arXiv
Saved in:
| Main Authors: | Lai, Zhijian, An, Dong, Hu, Jiang, Wen, Zaiwen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Achieving double-logarithmic precision dependence in optimization-based quantum unstructured search
by: Lai, Zhijian, et al.
Published: (2026)
by: Lai, Zhijian, et al.
Published: (2026)
Quantum circuit design from a retraction-based Riemannian optimization framework
by: Lai, Zhijian, et al.
Published: (2026)
by: Lai, Zhijian, et al.
Published: (2026)
Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization
by: Deng, Kangkang, et al.
Published: (2024)
by: Deng, Kangkang, et al.
Published: (2024)
Advancing Mathematical Research via Human-AI Interactive Theorem Proving
by: Li, Chenyi, et al.
Published: (2025)
by: Li, Chenyi, et al.
Published: (2025)
Inexact FPPA for the $\ell_0$ Sparse Regularization Problem
by: Fang, Ronglong, et al.
Published: (2024)
by: Fang, Ronglong, et al.
Published: (2024)
Curve fitting on a quantum annealer for an advanced navigation method
by: Isserstedt, Philipp, et al.
Published: (2024)
by: Isserstedt, Philipp, et al.
Published: (2024)
A preconditioned inexact infeasible quantum interior point method for linear optimization
by: Wu, Zeguan, et al.
Published: (2024)
by: Wu, Zeguan, et al.
Published: (2024)
Error Bound Analysis for the Regularized Loss of Deep Linear Neural Networks
by: Chen, Po, et al.
Published: (2025)
by: Chen, Po, et al.
Published: (2025)
Implicit augmented Lagrangian and generalized optimization
by: De Marchi, Alberto
Published: (2023)
by: De Marchi, Alberto
Published: (2023)
Consensus-based optimization for closed-box adversarial attacks and a connection to evolution strategies
by: Roith, Tim, et al.
Published: (2025)
by: Roith, Tim, et al.
Published: (2025)
On the role of semismoothness in the implicit programming approach to selected nonsmooth optimization problems
by: Gfrerer, Helmut, et al.
Published: (2024)
by: Gfrerer, Helmut, et al.
Published: (2024)
General Constrained Matrix Optimization
by: Garner, Casey, et al.
Published: (2024)
by: Garner, Casey, et al.
Published: (2024)
Spectrally Constrained Optimization
by: Garner, Casey, et al.
Published: (2023)
by: Garner, Casey, et al.
Published: (2023)
A Busemann hybrid projection-proximal point algorithm for optimization problems on Hadamard manifolds
by: Millán, R. Díaz, et al.
Published: (2026)
by: Millán, R. Díaz, et al.
Published: (2026)
Stochastic momentum ADMM for nonconvex and nonsmooth optimization with application to PnP algorithm
by: Deng, Kangkang, et al.
Published: (2025)
by: Deng, Kangkang, et al.
Published: (2025)
Solving nonconvex optimization problems via a second order dynamical system with unbounded damping
by: László, Szilárd Csaba
Published: (2025)
by: László, Szilárd Csaba
Published: (2025)
Stiefel optimization is NP-hard
by: Lai, Zehua, et al.
Published: (2025)
by: Lai, Zehua, et al.
Published: (2025)
Accelerated Natural Gradient Method for Parametric Manifold Optimization
by: Li, Chenyi, et al.
Published: (2025)
by: Li, Chenyi, et al.
Published: (2025)
A quantum dual logarithmic barrier method for linear optimization
by: Wu, Zeguan, et al.
Published: (2024)
by: Wu, Zeguan, et al.
Published: (2024)
A preconditioned difference of convex functions algorithm with extrapolation and line search
by: Zhang, Ran, et al.
Published: (2025)
by: Zhang, Ran, et al.
Published: (2025)
Grassmannian optimization is NP-hard
by: Lai, Zehua, et al.
Published: (2024)
by: Lai, Zehua, et al.
Published: (2024)
On the role of semismoothness in nonsmooth numerical analysis: Theory
by: Gfrerer, H., et al.
Published: (2024)
by: Gfrerer, H., et al.
Published: (2024)
A Representation Optimization Dichotomy, Lie-Algebraic Policy Optimization
by: KC, Sooraj, et al.
Published: (2026)
by: KC, Sooraj, et al.
Published: (2026)
Binno: A 1st-order method for Bi-level Nonconvex Nonsmooth Optimization for Matrix Factorizations
by: Selicato, Laura, et al.
Published: (2025)
by: Selicato, Laura, et al.
Published: (2025)
An Augmented Lagrangian Method for Training Recurrent Neural Networks
by: Wang, Yue, et al.
Published: (2024)
by: Wang, Yue, et al.
Published: (2024)
Parameter-Free Accelerated Quasi-Newton Method for Nonconvex Optimization
by: Marumo, Naoki
Published: (2025)
by: Marumo, Naoki
Published: (2025)
Inexact Riemannian Gradient Descent Method for Nonconvex Optimization
by: Zhou, Juan, et al.
Published: (2024)
by: Zhou, Juan, et al.
Published: (2024)
Preconditioned subgradient method for composite optimization: overparameterization and fast convergence
by: Díaz, Mateo, et al.
Published: (2025)
by: Díaz, Mateo, et al.
Published: (2025)
An Extended ADMM for 3-Block Nonconvex Nonseparable Problems with Applications
by: Liu, Zekun
Published: (2024)
by: Liu, Zekun
Published: (2024)
A Symplectic Discretization Based Proximal Point Algorithm for Convex Minimization
by: Yuan, Ya-xiang, et al.
Published: (2024)
by: Yuan, Ya-xiang, et al.
Published: (2024)
A globalization of L-BFGS and the Barzilai-Borwein method for nonconvex unconstrained optimization
by: Mannel, Florian
Published: (2024)
by: Mannel, Florian
Published: (2024)
Proximal Algorithms for a class of abstract convex functions
by: Bednarczuk, Ewa, et al.
Published: (2024)
by: Bednarczuk, Ewa, et al.
Published: (2024)
A double iteratively reweighted algorithm for solving group sparse nonconvex optimization models
by: Nie, Wanqin, et al.
Published: (2025)
by: Nie, Wanqin, et al.
Published: (2025)
Convergence of Descent Optimization Algorithms under Polyak-Łojasiewicz-Kurdyka Conditions
by: Bento, G. C., et al.
Published: (2024)
by: Bento, G. C., et al.
Published: (2024)
On the local and global minimizers of the smooth stress function in Euclidean Distance Matrix problems
by: Song, Mengmeng, et al.
Published: (2024)
by: Song, Mengmeng, et al.
Published: (2024)
Optimal phase change for a generalized Grover's algorithm
by: Cardullo, Christopher, et al.
Published: (2025)
by: Cardullo, Christopher, et al.
Published: (2025)
Riemannian Adaptive Regularized Newton Methods with Hölder Continuous Hessians
by: Zhang, Chenyu, et al.
Published: (2023)
by: Zhang, Chenyu, et al.
Published: (2023)
Exact Solutions for the NP-hard Wasserstein Barycenter Problem using a Doubly Nonnegative Relaxation and a Splitting Method
by: Jung, Woosuk L., et al.
Published: (2023)
by: Jung, Woosuk L., et al.
Published: (2023)
Proximal Limited-Memory Quasi-Newton Methods for Nonsmooth Nonconvex Optimization
by: Dahl, Simeon vom, et al.
Published: (2026)
by: Dahl, Simeon vom, et al.
Published: (2026)
Adaptive Preconditioned Gradient Descent with Energy
by: Liu, Hailiang, et al.
Published: (2023)
by: Liu, Hailiang, et al.
Published: (2023)
Similar Items
-
Achieving double-logarithmic precision dependence in optimization-based quantum unstructured search
by: Lai, Zhijian, et al.
Published: (2026) -
Quantum circuit design from a retraction-based Riemannian optimization framework
by: Lai, Zhijian, et al.
Published: (2026) -
Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization
by: Deng, Kangkang, et al.
Published: (2024) -
Advancing Mathematical Research via Human-AI Interactive Theorem Proving
by: Li, Chenyi, et al.
Published: (2025) -
Inexact FPPA for the $\ell_0$ Sparse Regularization Problem
by: Fang, Ronglong, et al.
Published: (2024)