Prospects for Quantum Enhancement with Diabatic Quantum Annealing
E.J. Crosson, D.A. Lidar

TL;DR
This paper evaluates the potential of diabatic quantum annealing and related algorithms to achieve quantum speedup in optimization problems, emphasizing the importance of improved coherence and control in near-term quantum hardware.
Contribution
It advocates for diabatic quantum annealing as the most promising approach for quantum enhancement and discusses how advanced control protocols can be implemented on current quantum hardware.
Findings
Diabatic quantum annealing offers a promising route to quantum speedup.
Enhanced control protocols can be implemented on existing quantum hardware.
Many algorithms show early signs of potential quantum advantage.
Abstract
We assess the prospects for algorithms within the general framework of quantum annealing (QA) to achieve a quantum speedup relative to classical state of the art methods in combinatorial optimization and related sampling tasks. We argue for continued exploration and interest in the QA framework on the basis that improved coherence times and control capabilities will enable the near-term exploration of several heuristic quantum optimization algorithms that have been introduced in the literature. These continuous-time Hamiltonian computation algorithms rely on control protocols that are more advanced than those in traditional ground-state QA, while still being considerably simpler than those used in gate-model implementations. The inclusion of coherent diabatic transitions to excited states results in a generalization called diabatic quantum annealing (DQA), which we argue for as the most…
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