Maps frozen MobileNetV2 features to Ising spins on quasi-cyclic LDPC graphs, operates a Random-Bond Ising Model at Nishimori temperature, and achieves 98.7% top-1 accuracy on ImageNet-10 and 84.92% on ImageNet-100 with 32-64 dimensional representations.
Low -density parity -check codes,
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2025 3verdicts
UNVERDICTED 3representative citing papers
Local syndrome-based preprocessing accelerates BP decoders for quantum LDPC codes, delivering up to 10x speedup on the [[144,12,12]] code while maintaining or improving logical error rates.
Adapts RAID for logical data, implements software system, and tests recovery of arbitrary faults in archives using small redundant data fraction.
citing papers explorer
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Natural Image Classification via Quasi-Cyclic Graph Ensembles and Random-Bond Ising Models at the Nishimori Temperature
Maps frozen MobileNetV2 features to Ising spins on quasi-cyclic LDPC graphs, operates a Random-Bond Ising Model at Nishimori temperature, and achieves 98.7% top-1 accuracy on ImageNet-10 and 84.92% on ImageNet-100 with 32-64 dimensional representations.
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Accelerating BP-based decoders for QLDPC Codes with Local Syndrome-Based Preprocessing
Local syndrome-based preprocessing accelerates BP decoders for quantum LDPC codes, delivering up to 10x speedup on the [[144,12,12]] code while maintaining or improving logical error rates.
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Using Data Redundancy Techniques to Detect and Correct Errors in Logical Data
Adapts RAID for logical data, implements software system, and tests recovery of arbitrary faults in archives using small redundant data fraction.