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quant-ph2026

An Evaluation of the Remote CX Protocol under Noise in Distributed Quantum Computing

Leo Sünkel, Michael Kölle, Tobias Rohe +1

Quantum computers connected through classical and quantum communication channels can be combined to function as a single unit to run large quantum circuits that each device is unab…

quant-ph2026

An Adaptive Purification Controller for Quantum Networks: Dynamic Protocol Selection and Multipartite Distillation

Pranav Kulkarni, Leo Sünkel, Michael Kölle

Efficient entanglement distribution is a cornerstone of the Quantum Internet. However, physical link parameters such as photon loss, memory coherence time, and gate error rates flu…

quant-ph2026

Emergent Cooperation in Quantum Multi-Agent Reinforcement Learning Using Communication

Michael Kölle, Christian Reff, Leo Sünkel +3

Emergent cooperation in classical Multi-Agent Reinforcement Learning has gained significant attention, particularly in the context of Sequential Social Dilemmas (SSDs). While class…

quant-ph2025

Quantum Architecture Search for Solving Quantum Machine Learning Tasks

Michael Kölle, Simon Salfer, Tobias Rohe +2

Quantum computing leverages quantum mechanics to address computational problems in ways that differ fundamentally from classical approaches. While current quantum hardware remains…

quant-ph2025

Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits

Michael Kölle, Leonhard Klingert, Julian Schönberger +3

Quantum computing is an emerging field in computer science that has seen considerable progress in recent years, especially in machine learning. By harnessing the principles of quan…

quant-ph2025

Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms

Leo Sünkel, Philipp Altmann, Michael Kölle +3

We apply a hybrid evolutionary algorithm to minimize the depth of circuits in quantum computing. More specifically, we evaluate two different variants of the algorithm. In the firs…