Generative Data Intelligence

Quantum Kolmogorov complexity and quantum correlations in deterministic-control quantum Turing machines

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Mariano Lemus1,2, Ricardo Faleiro1,2, Paulo Mateus1,2, Nikola Paunković1,2, and André Souto2,3,4

1Departamento de Matemática, Instituto Superior Técnico, Universidade de Lisboa, Av.Rovisco Pais, 1049-001 Lisboa, Portugal
2Instituto de Telecomunicações, Av.Rovisco Pais, 1049-001 Lisboa, Portugal
3Lasige, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal
4Departamento de Informática,Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal

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Abstract

This work presents a study of Kolmogorov complexity for general quantum states from the perspective of deterministic-control quantum Turing Machines (dcq-TM). We extend the dcq-TM model to incorporate mixed state inputs and outputs, and define dcq-computable states as those that can be approximated by a dcq-TM. Moreover, we introduce (conditional) Kolmogorov complexity of quantum states and use it to study three particular aspects of the algorithmic information contained in a quantum state: a comparison of the information in a quantum state with that of its classical representation as an array of real numbers, an exploration of the limits of quantum state copying in the context of algorithmic complexity, and study of the complexity of correlations in quantum systems, resulting in a correlation-aware definition for algorithmic mutual information that satisfies symmetry of information property.

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Cited by

[1] Anne Broadbent, Martti Karvonen, and Sébastien Lord, “Uncloneable Quantum Advice”, arXiv:2309.05155, (2023).

The above citations are from SAO/NASA ADS (last updated successfully 2024-01-18 23:13:56). The list may be incomplete as not all publishers provide suitable and complete citation data.

On Crossref’s cited-by service no data on citing works was found (last attempt 2024-01-18 23:13:55).

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