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quant-ph2026

Physics inspired quantum algorithm for QCD splitting functions

Gabriel Rouxinol, Yacine Haddad, Cenk Tüysüz +2

We introduce a modular quantum circuit primitive to model entanglement dynamics in QCD parton splitting and use it as a composable building block for data-driven, physics-consisten…

quant-ph2026

Kubernetes-Orchestrated Hybrid Quantum-Classical Workflows

Mar Tejedor, Michele Grossi, Cenk Tüysüz +2

Hybrid quantum-classical workflows combine quantum processing units (QPUs) with classical hardware to address computational tasks that are challenging or infeasible for conventiona…

quant-ph2026

Hybrid Method of Efficient Simulation of Physics Applications for a Quantum Computer

Carla Rieger, Albert T. Schmitz, Gehad Salem +5

Quantum chemistry and materials science are among the most promising areas for demonstrating algorithmic quantum advantage and quantum utility due to their inherent quantum mechani…

quant-ph2025

Learning Reduced Representations for Quantum Classifiers

Patrick Odagiu, Vasilis Belis, Lennart Schulze +6

Data sets that are specified by a large number of features are currently outside the area of applicability for quantum machine learning algorithms. An immediate solution to this im…

quant-ph2025

Order Parameter Discovery for Quantum Many-Body Systems

Nicola Mariella, Tara Murphy, Francesco Di Marcantonio +4

Quantum phase transitions reveal deep insights into the behavior of many-body quantum systems, but identifying these transitions without well-defined order parameters remains a sig…

quant-ph2025

Operational Framework for a Quantum Database

Carla Rieger, Michele Grossi, Gian Giacomo Guerreschi +2

Databases are an essential component of modern computing infrastructures and allow efficient manipulation of inherently structured data. The structure depends on the type and relat…