Issue |
EPL
Volume 133, Number 5, March 2021
|
|
---|---|---|
Article Number | 50004 | |
Number of page(s) | 6 | |
Section | General | |
DOI | https://doi.org/10.1209/0295-5075/133/50004 | |
Published online | 11 May 2021 |
Two definitions of maximally ψ-epistemic ontological model and preparation non-contextuality
National Institute of Technology Patna - Ashok Rajpath, Patna, Bihar 800005, India
Received: 16 November 2020
Accepted: 19 February 2021
An ontological model is termed as maximally ψ-epistemic if the overlap between any two quantum states is fully accounted for by the overlap of their respective probability distributions of ontic states. However, in the literature, there exist two different mathematical definitions (termed here as 1MψE and 2MψE) that capture the equivalent notion of maximal ψ-epistemicity. In this work, we provide three theorems to critically examine the connections between preparation non-contextuality and the aforementioned two definitions of maximal ψ-epistemicity. In theorem 1, we provide a simple and direct argument of an existing proof to demonstrate that the mixed state preparation non-contextuality implies the first definition of maximal ψ-epistemicity. In theorem 2, we prove that the second definition of maximal ψ-epistemicity implies pure-state preparation non-contextuality. If both the definitions capture the equivalent notion of maximal ψ-epistemicity, then from the aforementioned two theorems one infers that the mixed-state preparation non-contextuality implies pure-state preparation non-contextuality. But, in theorem 3, we demonstrate that the mixed-state preparation non-contextuality in an ontological model implies pure-state contextuality and vice versa. This leads one to conclude that 1MψE and 2MψE capture inequivalent notions of maximal ψ-epistemicity. The implications of our results and their connections to other no-go theorems are discussed.
PACS: 03.65.Ta – Foundations of quantum mechanics; measurement theory
© 2021 EPLA
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.