The Contextual Fraction as a Measure of Entanglement
- URL: http://arxiv.org/abs/2403.06896v1
- Date: Mon, 11 Mar 2024 16:50:08 GMT
- Title: The Contextual Fraction as a Measure of Entanglement
- Authors: Tim Chan and Andrei Constantin
- Abstract summary: We first show that any separable state is necessarily non-contextual, regardless of the measurement scenario.
For bipartite states we associate a distinguished empirical model and show that the corresponding contextual fraction is positively correlated with the entanglement entropy of the state.
- Score: 0.18130068086063336
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The contextual fraction introduced by Abramsky and Brandenburger defines a
quantitative measure of contextuality associated with empirical models, i.e.
tables of probabilities of measurement outcomes in experimental scenarios. In
this paper we define a measure of entanglement relying on the contextual
fraction. We first show that any separable state is necessarily non-contextual,
regardless of the measurement scenario. Then, for bipartite states we associate
a distinguished empirical model and show that the corresponding contextual
fraction is positively correlated with the entanglement entropy of the state,
suggesting that contextuality may be regarded as a refinement of entanglement.
Related papers
- Conjuring Semantic Similarity [59.18714889874088]
The semantic similarity between two textual expressions measures the distance between their latent'meaning'
We propose a novel approach whereby the semantic similarity among textual expressions is based not on other expressions they can be rephrased as, but rather based on the imagery they evoke.
Our method contributes a novel perspective on semantic similarity that not only aligns with human-annotated scores, but also opens up new avenues for the evaluation of text-conditioned generative models.
arXiv Detail & Related papers (2024-10-21T18:51:34Z) - State-independent all-versus-nothing arguments [1.223779595809275]
Contextuality is a key feature of quantum information that challenges classical intuitions.
This report provides a unified interpretation of contextuality by integrating Kochen-Specker type notions into the state-independent AvN argument.
arXiv Detail & Related papers (2023-11-19T04:08:50Z) - Corrected Bell and Noncontextuality Inequalities for Realistic Experiments [1.099532646524593]
Contextuality is a feature of quantum correlations.
It is crucial from a foundational perspective as a nonclassical phenomenon, and from an applied perspective as a resource for quantum advantage.
We prove the continuity of a known measure of contextuality, the contextual fraction, which ensures its robustness to noise.
We then bound the extent to which these relaxations can account for contextuality, culminating in a notion of genuine contextuality, which is robust to experimental imperfections.
arXiv Detail & Related papers (2023-10-30T09:43:39Z) - Separability, Contextuality, and the Quantum Frame Problem [0.0]
We study the relationship between assumptions of state separability and both preparation and measurement contextuality.
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.
arXiv Detail & Related papers (2023-04-19T23:32:19Z) - PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and
Entailment Recognition [63.51569687229681]
We argue for the need to recognize the textual entailment relation of each proposition in a sentence individually.
We propose PropSegmEnt, a corpus of over 45K propositions annotated by expert human raters.
Our dataset structure resembles the tasks of (1) segmenting sentences within a document to the set of propositions, and (2) classifying the entailment relation of each proposition with respect to a different yet topically-aligned document.
arXiv Detail & Related papers (2022-12-21T04:03:33Z) - Textual Entailment Recognition with Semantic Features from Empirical
Text Representation [60.31047947815282]
A text entails a hypothesis if and only if the true value of the hypothesis follows the text.
In this paper, we propose a novel approach to identifying the textual entailment relationship between text and hypothesis.
We employ an element-wise Manhattan distance vector-based feature that can identify the semantic entailment relationship between the text-hypothesis pair.
arXiv Detail & Related papers (2022-10-18T10:03:51Z) - Contextuality as a Precondition for Quantum Entanglement [0.0]
We prove that entanglement in a nonlocal scenario can arise only if there is preparation and measurement contextuality.
As a direct consequence, our result allows us to translate any inequality for testing preparation and measurement contextuality into an entanglement test.
arXiv Detail & Related papers (2022-09-20T18:36:34Z) - Experimentally determining the incompatibility of two qubit measurements [55.41644538483948]
We describe and realize an experimental procedure for assessing the incompatibility of two qubit measurements.
We demonstrate this fact in an optical setup, where the qubit states are encoded into the photons' polarization degrees of freedom.
arXiv Detail & Related papers (2021-12-15T19:01:44Z) - Measuring Association Between Labels and Free-Text Rationales [60.58672852655487]
In interpretable NLP, we require faithful rationales that reflect the model's decision-making process for an explained instance.
We demonstrate that pipelines, existing models for faithful extractive rationalization on information-extraction style tasks, do not extend as reliably to "reasoning" tasks requiring free-text rationales.
We turn to models that jointly predict and rationalize, a class of widely used high-performance models for free-text rationalization whose faithfulness is not yet established.
arXiv Detail & Related papers (2020-10-24T03:40:56Z) - Bounding and simulating contextual correlations in quantum theory [0.0]
We introduce a hierarchy of semidefinite relaxations of the set of quantum correlations in generalised contextuality scenarios.
We use it to determine the maximal quantum violation of several noncontextuality inequalities whose maximum violations were previously unknown.
We then go further and use it to prove that certain preparation-contextual correlations cannot be explained with pure states.
arXiv Detail & Related papers (2020-10-09T18:19:09Z) - A computational model implementing subjectivity with the 'Room Theory'.
The case of detecting Emotion from Text [68.8204255655161]
This work introduces a new method to consider subjectivity and general context dependency in text analysis.
By using similarity measure between words, we are able to extract the relative relevance of the elements in the benchmark.
This method could be applied to all the cases where evaluating subjectivity is relevant to understand the relative value or meaning of a text.
arXiv Detail & Related papers (2020-05-12T21:26:04Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.