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- Experimental activation of hidden metrological steerability in quantum channels via stochastic filtering
- Geometric Pumping of Optical Work in Coherent Wave Scattering
- Anomalous thermal transport in isotope-enriched germanium carbide
- Born-Infeld black holes in bumblebee gravity
- Flux Crosstalk Calibration from Zero Knowledge to High Precision in Fully Tunable Superconducting Circuits
- Efficient quantum ultraspherical transform and a well-conditioned quantum spectral method
- Quasi-equilibrium tidal folds of white dwarfs around rotating black holes in shift-symmetric Einstein--scalar--Gauss--Bonnet gravity
- Precision Limits and Non-Gaussian Advantage in Optical Phase Estimation under Preparation Constraints
- Quantum field theory treatment of the spin-flavor precession of Dirac neutrinos with diagonal magnetic moments
- The Logic of Emergence
- Noise-regularized training of quantum circuit Born machines under a finite shot budget
- A Counterexample to the Weak Gibbs and Regularity Conjectures
- Vertex Operator Algebras in Lean: a formal library and its companion book
- Explicit pore pre-conditioning and inverse design of amorphous nanoporous carbon
- Cryogenic suppression of correlated loss in Rydberg atom arrays
- New Neutron Polarizabilities from Deuterium Compton Scattering at HIγS
- Discovering correlated error mechanisms: data-driven augmentation of detector error models improving decoding
- Unraveling Primary Energy Conversion Dynamics in Intact Cells of Gemmatimonas groenlandica
- A trust layer for fast pedestal-stability surrogates: calibrated error bars, out-of-distribution alarms and few-shot recalibration
- Limited knowledge exchange across biological subfields in agent-based modelling: an LLM-assisted bibliometric analysis
- Compatibility of Pauli Observables
- Thermodynamics-Informed Learning Captures Hierarchical Hydrogen-Bond Networks in Deep Eutectic Solvents
- Operational Challenges in Efficient and Sustainable Operation of the Event Processing Nodes GPU Farm at the ALICE Experiment
- Informing research priorities for distributed acoustic sensing: insights from a citizens' panel
- Finite-width shift of the edge of chaos in deep neural networks