Measurement-induced asymmetry in bipartite networks

• URL: http://arxiv.org/abs/2401.09304v2
• Date: Tue, 24 Sep 2024 09:33:05 GMT
• Title: Measurement-induced asymmetry in bipartite networks
• Authors: A. Lowe, E. Medina-Guerra,
• Abstract summary: We consider an interacting bipartite network through a Bayesian game-theoretic framework. We show that weak measurements introduce an inherent asymmetry that is not present when using standard projective measurements.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We consider an interacting bipartite network through a Bayesian game-theoretic framework and demonstrate that weak measurements introduce an inherent asymmetry that is not present when using standard projective measurements. These asymmetries are revealed in the expected payoff for a Bayesian version of Prisoner's dilemma, demonstrating that certain advantages can be found for given subsystems depending on the measurements performed in the network. We demonstrate that this setup allows measurement-induced control for one of the respective parties.

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