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quant-ph2026
Mitigating small gaps in quantum annealing through recursive catalyst construction
Natasha Feinstein, Sebastian Schulz, Robert J. Banks +4
The introduction of interactions, typically in the form of an additional catalyst Hamiltonian, has shown promise as a tool for gap enhancement in quantum annealing, allowing t…
quant-ph2025★ 2 cited
Learning-Driven Annealing with Adaptive Hamiltonian Modification for Solving Large-Scale Problems on Quantum Devices
Sebastian Schulz, Dennis Willsch, Kristel Michielsen
We present Learning-Driven Annealing (LDA), a framework that links individual quantum annealing evolutions into a global solution strategy to mitigate hardware constraints such as…