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quant-ph2026
Experimental Workflows for Combinatorial Optimization: Towards Quantum Advantage
Prashanti Priya Angara, Luis F. Rivera, Ulrike Stege +3
Demonstrating quantum advantage for combinatorial optimization requires more than standalone algorithmic results; it calls for end-to-end case studies that integrate problem modell…
quant-ph2025
The Art of Avoiding Constraints: A Penalty-free Approach to Constrained Combinatorial Optimization with QAOA
Prashanti Priya Angara, Danylo Lykov, Ulrike Stege +2
The quantum approximate optimization algorithm (QAOA) is designed to determine optimum and near optimum solutions of quadratic (and higher order) unconstrained binary optimization…
quant-ph2024
TITAN: A Distributed Large-Scale Trapped-Ion NISQ Computer
Cheng Chu, Zhenxiao Fu, Yilun Xu +4
Trapped-Ion (TI) technology offers potential breakthroughs for Noisy Intermediate Scale Quantum (NISQ) computing. TI qubits offer extended coherence times and high gate fidelity, m…