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A deceptive step towards quantum speedup detection

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arxiv 1711.01368 v2 pith:QEWMGCKO submitted 2017-11-04 quant-ph cond-mat.dis-nnphysics.comp-ph

classification quant-phcond-mat.dis-nnphysics.comp-ph
keywords quantumspeedupclassicalheuristicsproblemsannealingbenchmarkcluster
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There have been multiple attempts to design synthetic benchmark problems with the goal of detecting quantum speedup in current quantum annealing machines. To date, classical heuristics have consistently outperformed quantum-annealing based approaches. Here we introduce a class of problems based on frustrated cluster loops - deceptive cluster loops - for which all currently known state-of-the-art classical heuristics are outperformed by the D-Wave 2000Q quantum annealing machine. While there is a sizable constant speedup over all known classical heuristics, a noticeable improvement in the scaling remains elusive. These results represent the first steps towards a detection of potential quantum speedup, albeit without a scaling improvement and for synthetic benchmark problems.

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  1. Resource-Efficient Quantum Algorithm for Protein Folding

    quant-ph 2019-08 reject novelty 6.0 of 10

    The authors introduce an O(N^4)-term Hamiltonian for lattice protein folding and demonstrate a CVaR-VQE plus genetic algorithm that folds small peptides, including a 7-amino-acid peptide on IBM Q hardware.

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