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.
A deceptive step towards quantum speedup detection
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abstract
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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quant-ph 1years
2019 1verdicts
REJECT 1representative citing papers
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Resource-Efficient Quantum Algorithm for Protein Folding
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.