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arxiv: 1806.11091 · v2 · pith:3WXF544Anew · submitted 2018-06-28 · 🪐 quant-ph

Inhomogeneous driving in quantum annealers can result in orders-of-magnitude improvements in performance

classification 🪐 quant-ph
keywords quantumdrivinginhomogeneousannealerannealersdifferentexperimentalground
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Quantum annealers are special-purpose quantum computers that primarily target solving Ising optimization problems. Theoretical work has predicted that the probability of a quantum annealer ending in a ground state can be dramatically improved if the spin driving terms, which play a crucial role in the functioning of a quantum annealer, have different strengths for different spins; that is, they are inhomogeneous. In this paper we describe a time-shift-based protocol for inhomogeneous driving and demonstrate, using an experimental quantum annealer, the performance of our protocol on a range of hard Ising problems that have been well-studied in the literature. Compared to the homogeneous-driving case, we find that we are able to increase the probability of finding a ground state by up to $10^8 \times$ for some Weak-Strong-Cluster problem instances, and by up to $10^3 \times$ for more general spin-glass problem instances. In addition to being of practical interest as a heuristic speedup method, inhomogeneous driving may also serve as a useful tool for investigations into the physics of experimental quantum annealers.

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