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arXiv · 1505.01249

When Diabatic Trumps Adiabatic in Quantum Optimization

Siddharth Muthukrishnan·Tameem Albash·Daniel A. Lidar
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Abstract

We provide and analyze examples that counter the widely made claim that tunneling is needed for a quantum speedup in optimization problems. The examples belong to the class of perturbed Hamming-weight optimization problems. In one case, featuring a plateau in the cost function in Hamming weight space, we find that the adiabatic dynamics that make tunneling possible, while superior to simulated annealing, result in a slowdown compared to a diabatic cascade of avoided level-crossings. This, in turn, inspires a classical spin vector dynamics algorithm that is at least as efficient for the plateau problem as the diabatic quantum algorithm. In a second case whose cost function is convex in Hamming weight space, the diabatic cascade results in a speedup relative to both tunneling and classical spin vector dynamics.

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Siddharth Muthukrishnan, Tameem Albash, Daniel A. Lidar. 2015-05-06. When Diabatic Trumps Adiabatic in Quantum Optimization. https://arxiv.org/abs/1505.01249

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