Two novel neighborhood structures for incomplete round-robin tournament scheduling are introduced, with one proven to connect the full solution space, leading to new best solutions via an adaptive late acceptance hill-climbing algorithm.
Canadian Journal of mathematics , volume=
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Neural decoders for surface-code QEC achieve practical microsecond FPGA latency when trained on large datasets with appropriate inductive biases and INT4 quantization, rather than relying on architectural complexity.
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Novel neighborhood structures for incomplete round robin sports tournaments
Two novel neighborhood structures for incomplete round-robin tournament scheduling are introduced, with one proven to connect the full solution space, leading to new best solutions via an adaptive late acceptance hill-climbing algorithm.
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Neural decoders for surface-code QEC achieve practical microsecond FPGA latency when trained on large datasets with appropriate inductive biases and INT4 quantization, rather than relying on architectural complexity.