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|Title:||Optimal Classical Simulation of State-Independent Quantum Contextuality||Authors:||Cabello, Adán
|Issue Date:||2018||Source:||Cabello, A., Gu, M., Gühne, O., & Xu, Z.-P. (2018). Optimal Classical Simulation of State-Independent Quantum Contextuality. Physical Review Letters, 120(13), 130401-.||Series/Report no.:||Physical Review Letters||Abstract:||Simulating quantum contextuality with classical systems requires memory. A fundamental yet open question is what is the minimum memory needed and, therefore, the precise sense in which quantum systems outperform classical ones. Here, we make rigorous the notion of classically simulating quantum state-independent contextuality (QSIC) in the case of a single quantum system submitted to an infinite sequence of measurements randomly chosen from a finite QSIC set. We obtain the minimum memory needed to simulate arbitrary QSIC sets via classical systems under the assumption that the simulation should not contain any oracular information. In particular, we show that, while classically simulating two qubits tested with the Peres-Mermin set requires log2 24 ≈ 4.585 bits, simulating a single qutrit tested with the Yu-Oh set requires, at least, 5.740 bits.||URI:||https://hdl.handle.net/10356/88994
|ISSN:||0031-9007||DOI:||http://dx.doi.org/10.1103/PhysRevLett.120.130401||Rights:||© 2018 American Physical Society. This paper was published in Physical Review Letters and is made available as an electronic reprint (preprint) with permission of American Physical Society. The published version is available at: [http://dx.doi.org/10.1103/PhysRevLett.120.130401]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SPMS Journal Articles|
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