Imagen de Portada

Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ahmad, Syed Farhan, Byrd, Gregory T.
Formato:	Preprint
Publicado:	2026
Materias:	Quantum Physics Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Long Range Frequency Tuning for QML
por: Poppel, Michael, et al.
Publicado: (2026)

Analyzing Quantum Circuit Depth Reduction with Ancilla Qubits in MCX Gates
por: Bennakhi, Ahmad, et al.
Publicado: (2024)

Quantum-Assisted Simulation: A Framework for Developing Machine Learning Models in Quantum Computing
por: Rath, Minati, et al.
Publicado: (2023)

Trainable Quantum Neural Network for Multiclass Image Classification with the Power of Pre-trained Tree Tensor Networks
por: Murota, Keisuke, et al.
Publicado: (2025)

Adaptive Entanglement Routing with Deep Q-Networks in Quantum Networks
por: Jallow, Lamarana, et al.
Publicado: (2025)

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

Quantum Optimization Algorithms
por: Stein, Jonas, et al.
Publicado: (2025)

Simulation of a Variational Quantum Perceptron using Grover's Algorithm
por: Innan, Nouhaila, et al.
Publicado: (2023)

Quantum Machine Learning for Optimizing Entanglement Distribution in Quantum Sensor Circuits
por: Attisara, Laxmisha Ashok, et al.
Publicado: (2025)

A Bi-directional Quantum Search Algorithm
por: Konar, Debanjan, et al.
Publicado: (2024)

On the Transfer of Knowledge in Quantum Algorithms
por: Villar-Rodriguez, Esther, et al.
Publicado: (2025)

Optimizing Quantum Embedding using Genetic Algorithm for QML Applications
por: Phalak, Koustubh, et al.
Publicado: (2024)

Quantum Machine Learning with HQC Architectures using non-Classically Simulable Feature Maps
por: Ahmad, Syed Farhan, et al.
Publicado: (2021)

Variational Quantum Algorithms for Particle Track Reconstruction
por: Lipardi, Vincenzo, et al.
Publicado: (2025)

Batch Entanglement Detection in Parameterized Qubit States using Classical Bandit Algorithms
por: Bharati, K., et al.
Publicado: (2024)

GPA: Grover Policy Agent for Generating Optimal Quantum Sensor Circuits
por: Alomari, Ahmad, et al.
Publicado: (2025)

Efficient Quantum Approximate $k$NN Algorithm via Granular-Ball Computing
por: Xia, Shuyin, et al.
Publicado: (2025)

Feature Entanglement-based Quantum Multimodal Fusion Neural Network
por: Wu, Yu, et al.
Publicado: (2026)

Efficient Quantum-Safe Homomorphic Encryption for Quantum Computer Programs
por: Goertzel, Ben
Publicado: (2025)

AI-Powered Algorithm-Centric Quantum Processor Topology Design
por: Li, Tian, et al.
Publicado: (2024)

Escaping Barren Plateaus in Variational Quantum Algorithms Using Negative Learning Rate in Quantum Internet of Things
por: Rahman, Ratun, et al.
Publicado: (2025)

AutoQML: A Framework for Automated Quantum Machine Learning
por: Roth, Marco, et al.
Publicado: (2025)

Evaluating Mutation Techniques in Genetic Algorithm-Based Quantum Circuit Synthesis
por: Kölle, Michael, et al.
Publicado: (2025)

Soft-Quantum Algorithms
por: Kyriacou, Basil, et al.
Publicado: (2026)

Qompose: A Technique to Select Optimal Algorithm- Specific Layout for Neutral Atom Quantum Architectures
por: Silver, Daniel, et al.
Publicado: (2024)

Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers
por: Chen, Kuan-Cheng, et al.
Publicado: (2025)

Quantum-Enhanced LLM Efficient Fine Tuning
por: Kong, Xiaofei, et al.
Publicado: (2025)

Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning
por: Chen, Kuan-Cheng, et al.
Publicado: (2024)

Quantum Entanglement as Super-Confounding: From Bell's Theorem to Robust Machine Learning
por: Kang, Pilsung
Publicado: (2025)

A Novel Image Classification Framework Based on Variational Quantum Algorithms
por: Chen, Yixiong
Publicado: (2023)

Qvine: Vine Structured Quantum Circuits for Loading High Dimensional Distributions
por: Quiroga, David, et al.
Publicado: (2026)

Quantum Agents for Algorithmic Discovery
por: Kerenidis, Iordanis, et al.
Publicado: (2025)

Quantum Circuit Reasoning Models: A Variational Framework for Differentiable Logical Inference
por: Kiruluta, Andrew
Publicado: (2025)

Entanglement is Half the Story: Post-Selection vs. Partial Traces
por: Jäger, Gustav J L, et al.
Publicado: (2026)

Adversarial Effects on Expressibility and Trainability in Distributed Variational Quantum Algorithms
por: Sadhu, Abhishek, et al.
Publicado: (2026)

The Quantum Sieve Tracer: A Hybrid Framework for Layer-Wise Activation Tracing in Large Language Models
por: Pan, Jonathan
Publicado: (2026)

Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models
por: Hashemian, Sajjad, et al.
Publicado: (2025)

Efficient and Universal Neural-Network Decoder for Stabilizer-Based Quantum Error Correction
por: Hu, Gengyuan, et al.
Publicado: (2025)

Domain-Aware Quantum Circuit for QML
por: Singh, Gurinder, et al.
Publicado: (2025)

Quantum Fuzzy Sets Revisited: Density Matrices, Decoherence, and the Q-Matrix Framework
por: Mannucci, Mirco A.
Publicado: (2026)