Acquisition of Delocalized Information via Classical and Quantum Carriers

• URL: http://arxiv.org/abs/2506.11254v1
• Date: Thu, 12 Jun 2025 19:55:04 GMT
• Title: Acquisition of Delocalized Information via Classical and Quantum Carriers
• Authors: Julian Maisriml, Sebastian Horvat, Borivoje Dakić,
• Abstract summary: We investigate the information-theoretic power of spatial superposition by analyzing tasks in which information is encoded at multiple distant sites.<n>We compare the statistical correlations that can be generated in such tasks using classical particles, quantum particles in spatial superposition, and hypothetical "second-order interference" resources.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We investigate the information-theoretic power of spatial superposition by analyzing tasks in which information is locally encoded at multiple distant sites and must be acquired by a single information carrier, such as a particle. Within an operational framework, we systematically compare the statistical correlations that can be generated in such tasks using classical particles, quantum particles in spatial superposition, and hypothetical "second-order interference" resources. We bound classical strategies via convex polytopes and present a study of their symmetry, demonstrating that the vertices are inherently connected to K-juntas as defined in the classical theory of Boolean functions, while their facet inequalities are in one-to-one correspondence with oracle games. We then analyze the violation of the "fingerprinting inequality" achievable by the use of one quantum particle, and we study the dependence of this violation on the dimension of the particle's internal degrees of freedom. Interestingly, we find that both quantum and any other (generalized) second-order interference models exhibit the same asymptotic scaling in violating the fingerprinting inequality. Our results thereby further articulate quantum interference and spatial superposition as a resource for information processing.

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