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quant-ph2026
Formulating Multistage Cutting Stock Problems as QUBO
Marcel Seelbach Benkner, Chiara Capecci, Sebastian Nagies +6
Cutting stock problems are of large relevance to a variety of industry branches. Here, we present a linear programming formulation for a restricted version of the multistage 2D cut…
quant-ph2025
Practical Noise Mitigation for Quantum Annealing via Dynamical Decoupling: Toward Industry-Relevant Optimization using Trapped Ions
Sebastian Nagies, Chiara Capecci, Marcel Seelbach Benkner +6
Quantum annealing is a framework for solving combinatorial optimization problems. While it offers a promising path towards a practical application of quantum hardware, its performa…
quant-ph2024
Boosting quantum annealing performance through direct polynomial unconstrained binary optimization
Sebastian Nagies, Kevin T. Geier, Javed Akram +3
Quantum annealing aims at solving optimization problems of practical relevance using quantum-computing hardware. Problems of interest are typically formulated in terms of quadratic…