Results 151 to 160 of about 1,410 (194)
Testing Quantum Satisfiability. [PDF]
Montanaro A, Shao C, Verdon D, Verdon D.
europepmc +1 more source
During optimization via the quantum natural gradient in a variational quantum eigensolver, the evolution of the Fubini‐Study metric suppresses irrelevant parameter directions and reduces state distinguishability near the ground state. ABSTRACT The lack of both a consistently effective and broadly reliable classical optimizer for variational quantum ...
Dwi Cahyo Mariyanto +5 more
wiley +1 more source
The Category of Anyon Sectors for Non-Abelian Quantum Double Models. [PDF]
Bols A +3 more
europepmc +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
ABSTRACT We introduce a family of bosonic quantum error‐correcting codes built as a rotation‐symmetric superposition of squeezed vacuum states, which promise protection against both loss and dephasing noise channels. The robustness of these “squeezed‐vacuum codes” arises from being arranged at evenly spaced angles in phase‐space, and simultaneously in ...
Nir Gutman +4 more
wiley +1 more source
Interplay Between Vertical and Horizontal Schemes of Computation: From Bayesian Inference to Quantum Logic via Gluing Boolean Algebras. [PDF]
Gunji YP +7 more
europepmc +1 more source
ABSTRACT Objective The efficacy of psychological therapies for adolescents and adults with avoidant/restrictive food intake disorder (ARFID) has yet to be rigorously analyzed through systematic review or meta‐analysis. Method We identified articles from seven databases that presented psychological therapies for adolescents and adults with ARFID. First,
Copeland G. Winten +4 more
wiley +1 more source
Quantum-Inspired and Non-Classical Approaches to Consciousness: Models, Evidence and Constraints. [PDF]
Arias-Carrión O +2 more
europepmc +1 more source
ABSTRACT Background The identification of reliable neural signatures for pain remains a critical challenge in both clinical and experimental settings. While electroencephalography (EEG) provides a promising avenue for pain assessment, it remains unclear whether phase‐ or power‐based neural integration drives pain‐state discrimination.
Yiyuan Han +2 more
wiley +1 more source

