A threshold-detector Gaussian boson sampler trained with a risk-sensitive cost function samples solutions to small 3-SAT and graph partitioning instances with higher probability than random guessing.
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Gaussian boson sampling for binary optimization
A threshold-detector Gaussian boson sampler trained with a risk-sensitive cost function samples solutions to small 3-SAT and graph partitioning instances with higher probability than random guessing.