Cover Image

Quantum-Assisted Correlation Clustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Macaluso, Antonio, Venkatesh, Supreeth Mysore, Arenas, Diego, Klusch, Matthias, Dengel, Andreas
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression
by: Venkatesh, Supreeth Mysore, et al.
Published: (2025)

Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation
by: Venkatesh, Supreeth Mysore, et al.
Published: (2023)

Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites
by: Venkatesh, Supreeth Mysore, et al.
Published: (2024)

Qubit-efficient Variational Quantum Algorithms for Image Segmentation
by: Venkatesh, Supreeth Mysore, et al.
Published: (2024)

Toward Quantum Utility in Finance: A Robust Data-Driven Algorithm for Asset Clustering
by: Sharma, Shivam, et al.
Published: (2025)

Quantum Artificial Intelligence: A Brief Survey
by: Klusch, Matthias, et al.
Published: (2024)

Quantum Supervised Learning
by: Macaluso, Antonio
Published: (2024)

Quantum computing and artificial intelligence: status and perspectives
by: Acampora, Giovanni, et al.
Published: (2025)

Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach
by: Mena, Francisco, et al.
Published: (2025)

Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation
by: Mena, Francisco, et al.
Published: (2024)

In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data
by: Mena, Francisco, et al.
Published: (2024)

Reinforcement Learning Assisted Recursive QAOA
by: Patel, Yash J., et al.
Published: (2022)

Quantum Ensemble for Classification
by: Macaluso, Antonio, et al.
Published: (2020)

QAL-BP: An Augmented Lagrangian Quantum Approach for Bin Packing
by: Cellini, Lorenzo, et al.
Published: (2023)

On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation?
by: Mena, Francisco, et al.
Published: (2025)

Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications
by: Mena, Francisco, et al.
Published: (2022)

Quantum Optimization for Training Quantum Neural Networks
by: Liao, Yidong, et al.
Published: (2021)

Quantum Phase Recognition via Quantum Attention Mechanism
by: Chen, Jin-Long, et al.
Published: (2026)

Meta-Learning for Quantum Optimization via Quantum Sequence Model
by: Lin, Yu-Cheng, et al.
Published: (2025)

Quantum Architecture Search for Solving Quantum Machine Learning Tasks
by: Kölle, Michael, et al.
Published: (2025)

Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise
by: Rahman, Ratun, et al.
Published: (2025)

Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
by: Ordóñez, Sebastián Andrés Cajas, et al.
Published: (2025)

Quantum Flow Matching
by: Cui, Zidong, et al.
Published: (2025)

Soft-Quantum Algorithms
by: Kyriacou, Basil, et al.
Published: (2026)

Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
by: Fan, Fan, et al.
Published: (2026)

QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization
by: Wang, Hanrui, et al.
Published: (2021)

The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment
by: Freinberger, Dominik, et al.
Published: (2026)

Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments
by: Jaouni, Tareq, et al.
Published: (2023)

Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach
by: Xu, Yang, et al.
Published: (2025)

SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks
by: Kumar, Rahul, et al.
Published: (2025)

Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters
by: Aizpurua, Borja, et al.
Published: (2026)

Shot-Based Quantum Encoding: A Data-Loading Paradigm for Quantum Neural Networks
by: Kyriacou, Basil, et al.
Published: (2026)

QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding
by: Willis, John M.
Published: (2024)

Quantum feature encoding optimization
by: Fioravanti, Tommaso, et al.
Published: (2025)

Iterative Quantum Feature Maps
by: Matsumoto, Nasa, et al.
Published: (2025)

Quantum Agents for Algorithmic Discovery
by: Kerenidis, Iordanis, et al.
Published: (2025)

QiNN-QJ: A Quantum-inspired Neural Network with Quantum Jump for Multimodal Sentiment Analysis
by: Chen, Yiwei, et al.
Published: (2025)

A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines
by: Chen, Yixiong
Published: (2026)

Quantum Masked Autoencoders for Vision Learning
by: Andrews, Emma, et al.
Published: (2025)

A Primer on Quantum Machine Learning
by: Chang, Su Yeon, et al.
Published: (2025)