3 citations · 5 across the 3 of their papers we have counts for
4 papers
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…
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…
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…
The role of higher-order terms in trapped-ion quantum computing with magnetic gradient induced coupling
Sebastian Nagies, Kevin T. Geier, Javed Akram +5
Trapped-ion hardware based on the Magnetic Gradient Induced Coupling (MAGIC) scheme is emerging as a promising platform for quantum computing. Nevertheless, in this -- as in any ot…