Cover Image

QUACOD: Quantum Optimization via Coordinate Descent for Scalable Drone Scheduling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Van-Quang-Huy, Nguyen, Hoang-Quan, Khan, Samee U., Safro, Ilya, Luu, Khoa
Format:	Preprint
Published:	2026
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks
by: Nguyen, Hoang-Quan, et al.
Published: (2025)

Quantum Visual Feature Encoding Revisited
by: Nguyen, Xuan-Bac, et al.
Published: (2024)

Hierarchical Quantum Control Gates for Functional MRI Understanding
by: Nguyen, Xuan-Bac, et al.
Published: (2024)

Quantum Vision Clustering
by: Nguyen, Xuan Bac, et al.
Published: (2023)

QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery
by: Holliday, James B., et al.
Published: (2025)

Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
by: Nguyen, Hoang-Quan, et al.
Published: (2024)

Scaling Quantum Optimization for Unit Commitment via Pauli Correlation Encoding
by: Nguyen, Kien X., et al.
Published: (2026)

Graph-Conditioned Meta-Optimizer for QAOA Parameter Generation on Multiple Problem Classes
by: Nguyen, Kien X., et al.
Published: (2026)

Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach
by: Nguyen, Kien X., et al.
Published: (2025)

Constrained Counterdiabatic Quantum Approximate Optimization Algorithm for Portfolio Optimization
by: Falla, Jose, et al.
Published: (2026)

Symmetries and Dimension Reduction in Quantum Approximate Optimization Algorithm
by: Tsvelikhovskiy, Boris, et al.
Published: (2023)

Q3SAT-GPT: A Generative Model for Discovering Quantum Circuits for the 3-SAT Problem
by: Ugale, Pratim, et al.
Published: (2026)

Scaling Up the Quantum Divide and Conquer Algorithm for Combinatorial Optimization
by: Cameron, Ibrahim, et al.
Published: (2024)

Graph Representation Learning for Parameter Transferability in Quantum Approximate Optimization Algorithm
by: Falla, Jose, et al.
Published: (2024)

QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering
by: Nguyen, Xuan-Bac, et al.
Published: (2024)

Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding
by: Nguyen, Hoang-Quan, et al.
Published: (2024)

QAP-Router: Tackling Qubit Routing as Dynamic Quadratic Assignment with Reinforcement Learning
by: Nguyen, Kien X., et al.
Published: (2026)

MLQAOA: Graph Learning Accelerated Hybrid Quantum-Classical Multilevel QAOA
by: Bach, Bao, et al.
Published: (2024)

Learning Cut Distributions with Quantum Optimization
by: Bach, Bao, et al.
Published: (2026)

Optical Quantum Mixed-State Reconstruction With Multiple Deep Learning Approaches
by: Luu, Nhan Trong, et al.
Published: (2024)

Quantum Hypergraph Partitioning
by: Ibrahim, Cameron, et al.
Published: (2026)

Efficient Compilation for Shuttling Trapped-Ion Machines via the Position Graph Architectural Abstraction
by: Bach, Bao, et al.
Published: (2025)

Comparison of D-Wave Quantum Annealing and Markov Chain Monte Carlo for Sampling from a Probability Distribution of a Restricted Boltzmann Machine
by: Yazizi, Abdelmoula El, et al.
Published: (2025)

QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits
by: Tyagin, Ilya, et al.
Published: (2025)

LOTUS: Layer-ordered Temporally Unified Schedules For Quantum Approximate Optimization Algorithms
by: Nguyen, Phuong-Nam
Published: (2026)

Optimal fermion-qubit mappings via quadratic assignment
by: Chiew, Mitchell, et al.
Published: (2025)

Equivariant QAOA and the Duel of the Mixers
by: Tsvelikhovskiy, Boris, et al.
Published: (2024)

Variational Quantum Eigensolver: A Comparative Analysis of Classical and Quantum Optimization Methods
by: Le, Duc-Truyen, et al.
Published: (2024)

Neural Architecture Search Algorithms for Quantum Autoencoders
by: Kulshrestha, Ankit, et al.
Published: (2025)

Medusa: Detecting and Removing Failures for Scalable Quantum Computing
by: Oksanen, Karoliina, et al.
Published: (2025)

Expressive and Scalable Quantum Fusion for Multimodal Learning
by: Nguyen, Tuyen, et al.
Published: (2025)

Brainformer: Mimic Human Visual Brain Functions to Machine Vision Models via fMRI
by: Nguyen, Xuan-Bac, et al.
Published: (2023)

QLAM: A Quantum Long-Attention Memory Approach to Long-Sequence Token Modeling
by: Nguyen, Hoang-Quan, et al.
Published: (2026)

Trust Region Bayesian Optimization of Annealing Schedules on a Quantum Annealer
by: Jeong, Seon-Geun, et al.
Published: (2025)

Reductions of QAOA Induced by Classical Symmetries: Theoretical Insights and Practical Implications
by: Tsvelikhovskiy, Boris, et al.
Published: (2026)

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth
by: Bach, Bao G, et al.
Published: (2025)

An Advanced Hybrid Quantum Tabu Search Approach to Vehicle Routing Problems
by: Holliday, James B., et al.
Published: (2025)

QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits
by: Kulshrestha, Ankit, et al.
Published: (2024)

On the Interplay Between Noise, Bell Violation, and Cascade Error Correction in Device-Independent Quantum Key Distribution
by: Duy, Nguyen Duong Hoang, et al.
Published: (2026)

QAOA Parameter Transferability for Maximum Independent Set using Graph Attention Networks
by: Xu, Hanjing, et al.
Published: (2025)