A boson-sampling variational ansatz paired with classical post-processing reaches chemical accuracy on molecular potential energy curves using linear optics.
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Binary-detector Gaussian boson sampling is proposed for sample-efficient graph classification, with an investigation into its connection to the Torontonian matrix function.
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Boson sampling enhanced quantum chemistry
A boson-sampling variational ansatz paired with classical post-processing reaches chemical accuracy on molecular potential energy curves using linear optics.
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Sample efficient graph classification using binary Gaussian boson sampling
Binary-detector Gaussian boson sampling is proposed for sample-efficient graph classification, with an investigation into its connection to the Torontonian matrix function.