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quant-ph2025

Quantum-Assisted Correlation Clustering

Antonio Macaluso, Supreeth Mysore Venkatesh, Diego Arenas +2

This work introduces a hybrid quantum-classical method to correlation clustering, a graph-based unsupervised learning task that seeks to partition the nodes in a graph based on pai…

quant-ph2025

Quantum computing and artificial intelligence: status and perspectives

Giovanni Acampora, Andris Ambainis, Natalia Ares +36

This white paper discusses and explores the various points of intersection between quantum computing and artificial intelligence (AI). It describes how quantum computing could supp…

quant-ph2025

i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression

Supreeth Mysore Venkatesh, Antonio Macaluso, Diego Arenas +2

We propose an iterative quantum-assisted least squares (i-QLS) optimization method that leverages quantum annealing to overcome the scalability and precision limitations of prior q…

quant-ph2024

Quantum Artificial Intelligence: A Brief Survey

Matthias Klusch, Jörg Lässig, Daniel Müssig +2

Quantum Artificial Intelligence (QAI) is the intersection of quantum computing and AI, a technological synergy with expected significant benefits for both. In this paper, we provid…

quant-ph2024

Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites

Supreeth Mysore Venkatesh, Antonio Macaluso, Marlon Nuske +2

The increasing number of Low Earth Orbit (LEO) satellites, driven by lower manufacturing and launch costs, is proving invaluable for Earth observation missions and low-latency inte…