Information causality and noisy computations

Li Yi Hsu; I. Ching Yu; Feng Li Lin

doi:10.1103/PhysRevA.84.042319

Information causality and noisy computations

Li Yi Hsu, I. Ching Yu, Feng Li Lin^*

^*Corresponding author for this work

Department of Physics

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

We reformulate the information causality in a more general framework by adopting the results of signal propagation and computation in a noisy circuit. In our framework, the information causality leads to a broad class of Tsirelson inequalities. This fact allows us to subject information causality to experimental scrutiny. A no-go theorem for reliable nonlocal computation is also derived. Information causality prevents any physical circuit from performing reliable computations.

Original language	English
Article number	042319
Journal	Physical Review A - Atomic, Molecular, and Optical Physics
Volume	84
Issue number	4
DOIs	https://doi.org/10.1103/PhysRevA.84.042319
Publication status	Published - 2011 Oct 10

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics

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10.1103/PhysRevA.84.042319

Cite this

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title = "Information causality and noisy computations",

abstract = "We reformulate the information causality in a more general framework by adopting the results of signal propagation and computation in a noisy circuit. In our framework, the information causality leads to a broad class of Tsirelson inequalities. This fact allows us to subject information causality to experimental scrutiny. A no-go theorem for reliable nonlocal computation is also derived. Information causality prevents any physical circuit from performing reliable computations.",

author = "Hsu, {Li Yi} and Yu, {I. Ching} and Lin, {Feng Li}",

note = "Funding Information: Marc Miravitlles has received speaker honoraria from Boehringer Ingelheim, Chiesi, Cipla, Menarini, Rovi, Bial, CSL Behring, Grifols, Novartis and Zambon; consultancy fees from Boehringer Ingelheim, Chiesi, GlaxoSmithKline, Bial, Gebro Pharma, CSL Behring, Laboratories Esteve, Mereo Biopharma, Verona Pharma, pH Pharma, Novartis, Grifols, and Teva; and research grants from GlaxoSmithKline and Grifols. Funding Information: EPISCAN II is funded by GSK (GSK ID: 205932; NCT03028207).",

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AU - Hsu, Li Yi

AU - Yu, I. Ching

AU - Lin, Feng Li

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Y1 - 2011/10/10

N2 - We reformulate the information causality in a more general framework by adopting the results of signal propagation and computation in a noisy circuit. In our framework, the information causality leads to a broad class of Tsirelson inequalities. This fact allows us to subject information causality to experimental scrutiny. A no-go theorem for reliable nonlocal computation is also derived. Information causality prevents any physical circuit from performing reliable computations.

AB - We reformulate the information causality in a more general framework by adopting the results of signal propagation and computation in a noisy circuit. In our framework, the information causality leads to a broad class of Tsirelson inequalities. This fact allows us to subject information causality to experimental scrutiny. A no-go theorem for reliable nonlocal computation is also derived. Information causality prevents any physical circuit from performing reliable computations.

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Information causality and noisy computations

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