Quantum Sequential Hypothesis Testing

Research output: Contribution to journalJournal articleResearchpeer-review

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Quantum Sequential Hypothesis Testing. / Martínez Vargas, Esteban; Hirche, Christoph; Sentís, Gael; Skotiniotis, Michalis; Carrizo, Marta; Muñoz-Tapia, Ramon; Calsamiglia, John.

In: Physical Review Letters, Vol. 126, No. 18, 180502, 2021.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Martínez Vargas, E, Hirche, C, Sentís, G, Skotiniotis, M, Carrizo, M, Muñoz-Tapia, R & Calsamiglia, J 2021, 'Quantum Sequential Hypothesis Testing', Physical Review Letters, vol. 126, no. 18, 180502. https://doi.org/10.1103/PhysRevLett.126.180502

APA

Martínez Vargas, E., Hirche, C., Sentís, G., Skotiniotis, M., Carrizo, M., Muñoz-Tapia, R., & Calsamiglia, J. (2021). Quantum Sequential Hypothesis Testing. Physical Review Letters, 126(18), [180502]. https://doi.org/10.1103/PhysRevLett.126.180502

Vancouver

Martínez Vargas E, Hirche C, Sentís G, Skotiniotis M, Carrizo M, Muñoz-Tapia R et al. Quantum Sequential Hypothesis Testing. Physical Review Letters. 2021;126(18). 180502. https://doi.org/10.1103/PhysRevLett.126.180502

Author

Martínez Vargas, Esteban ; Hirche, Christoph ; Sentís, Gael ; Skotiniotis, Michalis ; Carrizo, Marta ; Muñoz-Tapia, Ramon ; Calsamiglia, John. / Quantum Sequential Hypothesis Testing. In: Physical Review Letters. 2021 ; Vol. 126, No. 18.

Bibtex

@article{11ad70d44e834bf8b4269fa2339df4c3,
title = "Quantum Sequential Hypothesis Testing",
abstract = "We introduce sequential analysis in quantum information processing, by focusing on the fundamental task of quantum hypothesis testing. In particular, our goal is to discriminate between two arbitrary quantum states with a prescribed error threshold ϵ when copies of the states can be required on demand. We obtain ultimate lower bounds on the average number of copies needed to accomplish the task. We give a block-sampling strategy that allows us to achieve the lower bound for some classes of states. The bound is optimal in both the symmetric as well as the asymmetric setting in the sense that it requires the least mean number of copies out of all other procedures, including the ones that fix the number of copies ahead of time. For qubit states we derive explicit expressions for the minimum average number of copies and show that a sequential strategy based on fixed local measurements outperforms the best collective measurement on a predetermined number of copies. Whereas for general states the number of copies increases as log1/ϵ, for pure states sequential strategies require a finite average number of samples even in the case of perfect discrimination, i.e., ϵ=0.",
author = "{Mart{\'i}nez Vargas}, Esteban and Christoph Hirche and Gael Sent{\'i}s and Michalis Skotiniotis and Marta Carrizo and Ramon Mu{\~n}oz-Tapia and John Calsamiglia",
note = "Publisher Copyright: {\textcopyright} 2021 American Physical Society.",
year = "2021",
doi = "10.1103/PhysRevLett.126.180502",
language = "English",
volume = "126",
journal = "Physical Review Letters",
issn = "0031-9007",
publisher = "American Physical Society",
number = "18",

}

RIS

TY - JOUR

T1 - Quantum Sequential Hypothesis Testing

AU - Martínez Vargas, Esteban

AU - Hirche, Christoph

AU - Sentís, Gael

AU - Skotiniotis, Michalis

AU - Carrizo, Marta

AU - Muñoz-Tapia, Ramon

AU - Calsamiglia, John

N1 - Publisher Copyright: © 2021 American Physical Society.

PY - 2021

Y1 - 2021

N2 - We introduce sequential analysis in quantum information processing, by focusing on the fundamental task of quantum hypothesis testing. In particular, our goal is to discriminate between two arbitrary quantum states with a prescribed error threshold ϵ when copies of the states can be required on demand. We obtain ultimate lower bounds on the average number of copies needed to accomplish the task. We give a block-sampling strategy that allows us to achieve the lower bound for some classes of states. The bound is optimal in both the symmetric as well as the asymmetric setting in the sense that it requires the least mean number of copies out of all other procedures, including the ones that fix the number of copies ahead of time. For qubit states we derive explicit expressions for the minimum average number of copies and show that a sequential strategy based on fixed local measurements outperforms the best collective measurement on a predetermined number of copies. Whereas for general states the number of copies increases as log1/ϵ, for pure states sequential strategies require a finite average number of samples even in the case of perfect discrimination, i.e., ϵ=0.

AB - We introduce sequential analysis in quantum information processing, by focusing on the fundamental task of quantum hypothesis testing. In particular, our goal is to discriminate between two arbitrary quantum states with a prescribed error threshold ϵ when copies of the states can be required on demand. We obtain ultimate lower bounds on the average number of copies needed to accomplish the task. We give a block-sampling strategy that allows us to achieve the lower bound for some classes of states. The bound is optimal in both the symmetric as well as the asymmetric setting in the sense that it requires the least mean number of copies out of all other procedures, including the ones that fix the number of copies ahead of time. For qubit states we derive explicit expressions for the minimum average number of copies and show that a sequential strategy based on fixed local measurements outperforms the best collective measurement on a predetermined number of copies. Whereas for general states the number of copies increases as log1/ϵ, for pure states sequential strategies require a finite average number of samples even in the case of perfect discrimination, i.e., ϵ=0.

UR - http://www.scopus.com/inward/record.url?scp=85105712904&partnerID=8YFLogxK

U2 - 10.1103/PhysRevLett.126.180502

DO - 10.1103/PhysRevLett.126.180502

M3 - Journal article

C2 - 34018787

AN - SCOPUS:85105712904

VL - 126

JO - Physical Review Letters

JF - Physical Review Letters

SN - 0031-9007

IS - 18

M1 - 180502

ER -

ID: 276656550