Neural-IC separates embedding inequalities from capacity bounds in query-separated computations, with one-bit RAC benchmarks and CHSH-layer stability selecting the Tsirelson threshold for quantum enhancements.
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Explicit support and gauge functions characterize the correlation sets in the (2,m,2) Bell scenario for three state spaces, yielding optimal witnesses for entanglement and beyond-quantum correlations with noise robustness thresholds.
A POVM framework for multi-interaction Compton polarimetry converges to projective polarization measurements and enables Bell tests on entangled annihilation photons.
PAM, a complex-valued associative memory model, exhibits steeper power-law scaling in loss and perplexity than a matched real-valued baseline when trained on WikiText-103 from 5M to 100M parameters.
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Neural Information Causality
Neural-IC separates embedding inequalities from capacity bounds in query-separated computations, with one-bit RAC benchmarks and CHSH-layer stability selecting the Tsirelson threshold for quantum enhancements.
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Dualistic operational characterization of device-dependent correlation sets via convex analysis in the $(2,m,2)$ Bell scenario
Explicit support and gauge functions characterize the correlation sets in the (2,m,2) Bell scenario for three state spaces, yielding optimal witnesses for entanglement and beyond-quantum correlations with noise robustness thresholds.
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Bell Test of Photons from Electron-Positron Annihilation via POVM-based Compton Polarimetry
A POVM framework for multi-interaction Compton polarimetry converges to projective polarization measurements and enables Bell tests on entangled annihilation photons.
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Phase-Associative Memory: Sequence Modeling in Complex Hilbert Space
PAM, a complex-valued associative memory model, exhibits steeper power-law scaling in loss and perplexity than a matched real-valued baseline when trained on WikiText-103 from 5M to 100M parameters.