Generalized parity-oblivious communication games powered by quantum preparation contextuality

Abstract The parity-oblivious random-access-code (PORAC) is a class of communication games involving a sender (Alice) and a receiver (Bob). In such games, Alice’s amount of communication to Bob is constraint by the parity-oblivious (PO) conditions, so that the parity information of her inputs remains oblivious to Bob. The PO condition in an operational theory is equivalently represented in an ontological model that satisfies the preparation noncontextuality. In this paper, we provide a nontrivial generalization of the existing two-level PORAC and derive the winning probability of the game in the preparation noncontextual ontological model. We demonstrate that the quantum theory outperforms the preparation noncontextual model by predicting higher winning probability in our generalized PORAC.

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Publication Details

Journal
Journal of Physics A Mathematical and Theoretical
Published
2024-08-19
DOI
https://doi.org/10.1088/1751-8121/ad7108
Citations
4
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
1.39
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article

Generalized parity-oblivious communication games powered by quantum preparation contextuality

A. K. Pan, Prabuddha Roy
4 citations
Journal of Physics A Mathematical and Theoretical
Quantum Computing Algorithms and Architecture
1.39
article

Generalized parity-oblivious communication games powered by quantum preparation contextuality

A. K. Pan, Prabuddha Roy
article en
4 citations

Abstract

Abstract The parity-oblivious random-access-code (PORAC) is a class of communication games involving a sender (Alice) and a receiver (Bob). In such games, Alice’s amount of communication to Bob is constraint by the parity-oblivious (PO) conditions, so that the parity information of her inputs remains oblivious to Bob. The PO condition in an operational theory is equivalently represented in an ontological model that satisfies the preparation noncontextuality. In this paper, we provide a nontrivial generalization of the existing two-level PORAC and derive the winning probability of the game in the preparation noncontextual ontological model. We demonstrate that the quantum theory outperforms the preparation noncontextual model by predicting higher winning probability in our generalized PORAC.

Journal of Physics A Mathematical and TheoreticalVol. 57(37)
Indian Institute of Science Education and Research Berhampur (IN), Indian Institute of Technology Hyderabad (IN)
Openalex Percentile: Top 16%
Quantum Computing Algorithms and Architecture
1.39
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