Presents a tensor-parallel distributed MPS method with block-cyclic partitioning and pivoted QR that emulates Google's RCS benchmark at bond dimension 16384 on 32 nodes, claiming three orders of magnitude better accuracy than prior methods.
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ML models using video features or raw frames predict APS in-flight particle temperature (R² up to 0.90) and velocity (R² up to 0.82) via TabPFN, CNNs, and regression baselines on 126 recordings from 63 runs.
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Tensor-Parallel Emulation of Quantum Circuits with Block-Cyclic Distributed Matrix Product States
Presents a tensor-parallel distributed MPS method with block-cyclic partitioning and pivoted QR that emulates Google's RCS benchmark at bond dimension 16384 on 32 nodes, claiming three orders of magnitude better accuracy than prior methods.
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Video-Based Prediction of In-Flight Particle Characteristics in Atmospheric Plasma Spraying
ML models using video features or raw frames predict APS in-flight particle temperature (R² up to 0.90) and velocity (R² up to 0.82) via TabPFN, CNNs, and regression baselines on 126 recordings from 63 runs.