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quant-ph2026

A Domain-Specific Language for Formulating Hybrid Quantum-Classical Meta-Solver Strategies

Nick Poser, Domenik Eichhorn, Ina Schaefer

A key challenge when designing hybrid quantum-classical workflows is the identification of quantum candidates, that is, determining for which specific problems quantum advantages c…

quant-ph2026

Transpiler Autotuning with Predictive Models for Quantum Circuit Optimization

Piotr Malkowski, Domenik Eichhorn, Joshua Ammermann +4

Quantum software engineering is an emerging research field focusing on efficiently embedding the quantum programming paradigm into existing software ecosystems. A key aspect of thi…

quant-ph2026

Investigating Retargetability Claims for Quantum Compilers

Luke Southall, Joshua Ammermann, Rinor Kelmendi +2

In the NISQ-era, there is a wide variety of hardware manufacturers building quantum computers. Each of these companies may choose different approaches and hardware architectures fo…

quant-ph2025

ProvideQ: A Quantum Optimization Toolbox

Domenik Eichhorn, Nick Poser, Maximilian Schweikart +1

Hybrid solvers for combinatorial optimization problems combine the advantages of classical and quantum computing to overcome difficult computational challenges. Although their theo…

quant-ph2024

Hybrid Meta-Solving for Practical Quantum Computing

Domenik Eichhorn, Maximilian Schweikart, Nick Poser +3

The advent of quantum algorithms has initiated a discourse on the potential for quantum speedups for optimization problems. However, several factors still hinder a practical realiz…