Cover Image

Quantum speedups for stochastic optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sidford, Aaron, Zhang, Chenyi
Format:	Preprint
Published:	2023
Subjects:	Quantum Physics Data Structures and Algorithms Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Isotropic Noise in Stochastic and Quantum Convex Optimization
by: Marsden, Annie, et al.
Published: (2025)

Quantum speedups for linear programming via interior point methods
by: Apers, Simon, et al.
Published: (2023)

Balancing Gradient and Hessian Queries in Non-Convex Optimization
by: Adil, Deeksha, et al.
Published: (2025)

Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
by: Wang, Hao, et al.
Published: (2024)

Convex optimization with $p$-norm oracles
by: Adil, Deeksha, et al.
Published: (2024)

Sparse Submodular Function Minimization
by: Graur, Andrei, et al.
Published: (2023)

On computing approximate Lewis weights
by: Apers, Simon, et al.
Published: (2024)

Accelerated Approximate Optimization of Multi-Commodity Flows on Directed Graphs
by: Chen, Li, et al.
Published: (2025)

Entropy Regularization and Faster Decremental Matching in General Graphs
by: Chen, Jiale, et al.
Published: (2023)

Reusing Samples in Variance Reduction
by: Jin, Yujia, et al.
Published: (2025)

Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
by: Zhang, Yexin, et al.
Published: (2024)

Extracting Dual Solutions via Primal Optimizers
by: Carmon, Yair, et al.
Published: (2024)

Expanding the reach of quantum optimization with fermionic embeddings
by: Zhao, Andrew, et al.
Published: (2023)

A quantum central path algorithm for linear optimization
by: Augustino, Brandon, et al.
Published: (2023)

Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization
by: Jambulapati, Arun, et al.
Published: (2024)

Quantum Approximate Optimization Algorithms for Maximum Cut on Low-Girth Graphs
by: Li, Tongyang, et al.
Published: (2024)

On Speedups for Convex Optimization via Quantum Dynamics
by: Chakrabarti, Shouvanik, et al.
Published: (2025)

Gibbs Sampling of Continuous Potentials on a Quantum Computer
by: Motamedi, Arsalan, et al.
Published: (2022)

Quantum Speedups for Group Relaxations of Integer Linear Programs
by: Augustino, Brandon, et al.
Published: (2026)

Quantum Optimization Algorithms in Operations Research: Methods, Applications, and Implications
by: Klug, Florian
Published: (2023)

Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure
by: Dereziński, Michał, et al.
Published: (2025)

Truncated Variance Reduced Value Iteration
by: Jin, Yujia, et al.
Published: (2024)

Generalized Short Path Algorithms: Towards Super-Quadratic Speedup over Markov Chain Search for Combinatorial Optimization
by: Chakrabarti, Shouvanik, et al.
Published: (2024)

No quantum advantage implies improved bounds and classical algorithms for the binary paint shop problem
by: Goh, Mark, et al.
Published: (2026)

A hierarchy of eigencomputations for polynomial optimization on the sphere
by: Lovitz, Benjamin, et al.
Published: (2023)

Mechanisms for Quantum Advantage in Global Optimization of Nonconvex Functions
by: Herman, Dylan, et al.
Published: (2025)

Solving Matrix Games with Near-Optimal Matvec Complexity
by: Karmarkar, Ishani, et al.
Published: (2026)

Solving Zero-Sum Games with Fewer Matrix-Vector Products
by: Karmarkar, Ishani, et al.
Published: (2025)

Scalable First-Order Interior Point Trust Region Algorithms for Linearly Constrained Optimization
by: Su, Yuexin, et al.
Published: (2026)

Quantum thermodynamics and semi-definite optimization
by: Liu, Nana, et al.
Published: (2025)

Quantum speedups in solving near-symmetric optimization problems by low-depth QAOA
by: Montanaro, Ashley, et al.
Published: (2024)

Classical optimization with imaginary time block encoding on quantum computers: The MaxCut problem
by: Zhong, Dawei, et al.
Published: (2024)

Quantum Langevin Dynamics for Optimization
by: Chen, Zherui, et al.
Published: (2023)

Approximate Message Passing for Quantum State Tomography
by: Siekierski, Noah, et al.
Published: (2025)

Quantum EigenGame for excited state calculation
by: Quiroga, David, et al.
Published: (2025)

Efficient Convex Optimization Requires Superlinear Memory
by: Marsden, Annie, et al.
Published: (2022)

Classical and Quantum Heuristics for the Binary Paint Shop Problem
by: Vijendran, V, et al.
Published: (2025)

Quantum Algorithms for Bandits with Knapsacks with Improved Regret and Time Complexities
by: Su, Yuexin, et al.
Published: (2025)

A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm
by: Kim, Junhyung Lyle, et al.
Published: (2024)

NPA Hierarchy for Quantum Isomorphism and Homomorphism Indistinguishability
by: Kar, Prem Nigam, et al.
Published: (2024)