3 papers
quant-ph2026
Quantum resources in non-stoquastic quantum annealing
Chiara Capecci, Sebastian Nagies, Naga Dileep Varikuti +1
Quantum annealing promises to solve combinatorial optimization problems by preparing the ground state of a target Hamiltonian. Standard annealing protocols are, however, stoquastic…
quant-ph2026
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-ph2025
Role of Nonstabilizerness in Quantum Optimization
Chiara Capecci, Gopal Chandra Santra, Alberto Bottarelli +2
Quantum optimization has emerged as a promising approach for tackling complicated classical optimization problems using quantum devices. However, the extent to which such algorithm…