Q-Score scores docking poses via GNN-predicted NBO E(2) energies solved as MWVCP with DC-QAOA, yielding rankings orthogonal to Vina and free of size bias.
Molecular docking with gaussian boson sampling,
5 Pith papers cite this work, alongside 147 external citations. Polarity classification is still indexing.
5
Pith papers citing it
147
external citations · Crossref
representative citing papers
Statistical benchmark methods originally for discriminating boson sampling can quantify noises like partial distinguishability and loss, performing better with high-order correlators, while a new fast simulation scheme for noisy samples is introduced.
Four-photon Gaussian boson sampling in six mixed time-frequency modes is demonstrated with output fidelity above 0.98, enabling small-scale graph isomorphism clustering.
Hybrid GBS with classical post-processing for DkSP achieves near-optimal solutions and ~4X sampling efficiency gains on community graphs while outperforming pure post-selection on sparse graphs.
Cyclic peptide docking can be formulated as a QUBO, but a constraint programming model solves larger instances and finds optimal solutions where the QUBO approach fails.
citing papers explorer
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Evaluating noises of fast-simulated boson sampling with statistical benchmark methods
Statistical benchmark methods originally for discriminating boson sampling can quantify noises like partial distinguishability and loss, performing better with high-order correlators, while a new fast simulation scheme for noisy samples is introduced.
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Quantum interference with time-frequency modes and multiple-photons generated by a silicon nitride microresonator
Four-photon Gaussian boson sampling in six mixed time-frequency modes is demonstrated with output fidelity above 0.98, enabling small-scale graph isomorphism clustering.