Computational speedups using small quantum devices
Vedran Dunjko, Yimin Ge, J. Ignacio Cirac

TL;DR
This paper demonstrates that small quantum computers with M qubits can be used in hybrid algorithms to significantly accelerate solving large 3SAT problems, highlighting potential near-term quantum advantages.
Contribution
It introduces a hybrid quantum-classical algorithm that leverages small quantum devices to speed up large-scale 3SAT problem solving, a novel approach for current quantum hardware.
Findings
Hybrid quantum-classical algorithm achieves speedup over classical methods
Small quantum devices can effectively contribute to large problem solving
Potential for near-term quantum advantage in combinatorial problems
Abstract
Suppose we have a small quantum computer with only M qubits. Can such a device genuinely speed up certain algorithms, even when the problem size is much larger than M? Here we answer this question to the affirmative. We present a hybrid quantum-classical algorithm to solve 3SAT problems involving n>>M variables that significantly speeds up its fully classical counterpart. This question may be relevant in view of the current quest to build small quantum computers.
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Taxonomy
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
