New techniques for error-independent unified path variation, non-degenerate batched sampling, and flexible contraction accelerate tensor network quantum trajectory simulations by more than 10^8 times.
Quantum computational chemistry
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Supervised ML models achieve R^2 > 0.90 when mapping multi-frequency radio data to 0.1-10 GeV gamma-ray intensity and attribute high-frequency radio bands to hadronic processes and low-frequency bands to leptonic processes.
Kochen-Specker contextuality generalizes nonclassicality while Spekkens' noncontextuality generalizes classicality, reconciling the two as successive stages in a hierarchy of classicality.
citing papers explorer
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Accelerating Quantum Tensor Network Simulations with Unified Path Variations and Non-Degenerate Batched Sampling
New techniques for error-independent unified path variation, non-degenerate batched sampling, and flexible contraction accelerate tensor network quantum trajectory simulations by more than 10^8 times.
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Data-driven modeling of Galactic diffuse emission with multi-wavelength observations
Supervised ML models achieve R^2 > 0.90 when mapping multi-frequency radio data to 0.1-10 GeV gamma-ray intensity and attribute high-frequency radio bands to hadronic processes and low-frequency bands to leptonic processes.
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Warring Contextualities -- Provably Classical vs Provably Nonclassical
Kochen-Specker contextuality generalizes nonclassicality while Spekkens' noncontextuality generalizes classicality, reconciling the two as successive stages in a hierarchy of classicality.