Image de couverture de livre

A Deployable Quantum Access Points Selection Algorithm for Large-Scale Localization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Shokry, Ahmed, Youssef, Moustafa
Format:	Preprint
Publié:	2024
Sujets:	Quantum Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

An Efficient Quantum Euclidean Similarity Algorithm for Worldwide Localization
par: Shokry, Ahmed, et autres
Publié: (2024)

An Efficient Quantum Binary-Neuron Algorithm for Accurate Multi-Story Floor Localization
par: Zook, Yousef, et autres
Publié: (2024)

Quantum Optimization for Access Point Selection Under Budget Constraint
par: Brik, Mohamed Khalil, et autres
Publié: (2026)

DeepCell: A Ubiquitous Accurate Provider-side Cellular-based Localization
par: Shokry, Ahmed, et autres
Publié: (2024)

Handling Device Heterogeneity for Deep Learning-based Localization
par: Shokry, Ahmed, et autres
Publié: (2024)

Efficient and Practical Black-Box Verification of Quantum Metric Learning Algorithms
par: Shokry, Ahmed, et autres
Publié: (2026)

Hybrid-Quantum Neural Architecture Search for The Proximal Policy Optimization Algorithm
par: Zada, Moustafa
Publié: (2025)

When Less is More: Approximating the Quantum Geometric Tensor with Block Structures
par: Shokry, Ahmedeo, et autres
Publié: (2025)

Quantum Algorithms Without Coherent Quantum Access
par: Nghiem, Nhat A.
Publié: (2025)

Simulator Demonstration of Large Scale Variational Quantum Algorithm on HPC Cluster
par: Morita, Mikio, et autres
Publié: (2024)

Analysis of Hessian Scaling for Local and Global Costs in Variational Quantum Algorithm
par: Huang, Yihan, et autres
Publié: (2026)

Towards Deploying Optimistic Quantum Fourier Transforms: An Architecture-Algorithm Co-Design Study
par: Lopes, Pedro L. S.
Publié: (2026)

Quantum Sensor Network Algorithms for Transmitter Localization
par: Zhan, Caitao, et autres
Publié: (2022)

Tensor Network Assisted Distributed Variational Quantum Algorithm for Large Scale Combinatorial Optimization Problem
par: Huang, Yuhan, et autres
Publié: (2026)

A Polynomial Time Quantum Algorithm for Exponentially Large Scale Nonlinear Differential Equations via Hamiltonian Simulation
par: Tanaka, Yu, et autres
Publié: (2023)

Quantum Interior Point Methods: A Review of Developments and An Optimally Scaling Framework
par: Mohammadisiahroudi, Mohammadhossein, et autres
Publié: (2025)

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization
par: Graves, Vincent, et autres
Publié: (2026)

Quantumness can enhance resilience to statistical noise in spin-network quantum reservoir computing
par: Kora, Youssef, et autres
Publié: (2025)

Scaling Up the Quantum Divide and Conquer Algorithm for Combinatorial Optimization
par: Cameron, Ibrahim, et autres
Publié: (2024)

Scaling Quantum Algorithms via Dissipation: Avoiding Barren Plateaus
par: Zapusek, Elias, et autres
Publié: (2025)

Local Scale Invariance in Quantum Theory: Experimental Predictions
par: Sen, Indrajit, et autres
Publié: (2026)

Quantum Utility-Scale Error Mitigation for Quantum Quench Dynamics in Heisenberg Spin Chains
par: Choi, Seokwon, et autres
Publié: (2025)

QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design
par: Yang, Rui, et autres
Publié: (2024)

Exploring Large-Scale Entanglement in Quantum Simulation
par: Joshi, Manoj K., et autres
Publié: (2023)

Subspace-Based Local Compilation of Variational Quantum Circuits for Large-Scale Quantum Many-Body Simulation
par: Kanasugi, Shota, et autres
Publié: (2024)

Quantum Gambling: Best-Arm Strategies for Generator Selection in Adaptive Variational Algorithms
par: Huang, Rick, et autres
Publié: (2025)

Hamiltonian Expressibility for Ansatz Selection in Variational Quantum Algorithms
par: Brozzi, Filippo, et autres
Publié: (2025)

Spin-Network Quantum Reservoir Computing with Distributed Inputs: The Role of Entanglement
par: Askari, Sareh, et autres
Publié: (2025)

Local and Multi-Scale Strategies to Mitigate Exponential Concentration in Quantum Kernels
par: Zendejas-Morales, Claudia, et autres
Publié: (2026)

Design principles of deep translationally-symmetric neural quantum states for frustrated magnets
par: Nutakki, Rajah P., et autres
Publié: (2025)

Greedy Gradient-free Adaptive Variational Quantum Algorithms on a Noisy Intermediate Scale Quantum Computer
par: Feniou, César, et autres
Publié: (2023)

Quantum Hamlets: Distributed Compilation of Large Algorithmic Graph States
par: Micciche, Anthony, et autres
Publié: (2026)

Large-Scale Quantum Kernels for Hyperspectral Data Classification
par: Delilbasic, A., et autres
Publié: (2026)

Ultra-Large-Capacity Passive Quantum Access Network Powered By Single Thermal Source
par: Xu, Yuehan, et autres
Publié: (2026)

Algorithmic Locality via Provable Convergence in Quantum Tensor Networks
par: Midha, Siddhant, et autres
Publié: (2026)

An Algorithm for Fast Assembling Large-Scale Defect-Free Atom Arrays
par: Zhang, Tao, et autres
Publié: (2026)

A Cascaded Random Access Quantum Memory
par: Li, Ziqian, et autres
Publié: (2025)

Towards Predictive Quantum Algorithmic Performance: Modeling Time-Correlated Noise at Scale
par: Jamadagni, Amit, et autres
Publié: (2026)

Quantum Approximate Optimization Algorithm in Finite Size and Large Depth and Equivalence to Quantum Annealing
par: Boulebnane, Sami, et autres
Publié: (2025)

The Art of Optimizing T-Depth for Quantum Error Correction in Large-Scale Quantum Computing
par: Chatterjee, Avimita, et autres
Publié: (2025)