Separability, Contextuality, and the Quantum Frame Problem
We study the relationship between assumptions of state separability and both preparation and measurement contextuality, and the relationship of both of these to the frame problem, the problem of predicting what does not change in consequence of an action. We state a quantum analog of the latter and prove its undecidability. We show how contextuality is generically induced in state preparation and measurement by basis choice, thermodynamic exchange, and the imposition of a priori causal models, and how fine-tuning assumptions appear ubiquitously in settings characterized as non-contextual.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
On the Quantum-like Contextuality of Ambiguous Phrases
Language is contextual as meanings of words are dependent on their contexts. Contextuality is, concomitantly, a well-defined concept in quantum mechanics where it is considered a major resource for quantum computations. …
Quantum-Like Contextuality in Large Language Models
Contextuality is a distinguishing feature of quantum mechanics and there is growing evidence that it is a necessary condition for quantum advantage. In order to make use of it, researchers have been asking whether simila…
Large Language ModelAdvanced Analysis of Quantum Contextuality in a Psychophysical Double-Detection Experiment
The results of behavioral experiments typically exhibit inconsistent connectedness, i.e., they violate the condition known as "no-signaling," "no-disturbance," or "marginal selectivity." This prevents one from evaluating…
Some Examples of Contextuality in Physics: Implications to Quantum Cognition
Contextuality, the impossibility of assigning a single random variable to represent the outcomes of the same measurement procedure under different experimental conditions, is a central aspect of quantum mechanics. Thus d…
A Model of Anaphoric Ambiguities using Sheaf Theoretic Quantum-like Contextuality and BERT
Ambiguities of natural language do not preclude us from using it and context helps in getting ideas across. They, nonetheless, pose a key challenge to the development of competent machines to understand natural language …