Information Causality and Noisy Computations

TL;DR

This paper generalizes the concept of information causality using noisy circuit models, deriving Tsirelson inequalities and establishing limits on reliable nonlocal computation in physical systems.

Contribution

It introduces a new framework linking information causality with noisy circuit theory, leading to broad Tsirelson inequalities and a no-go theorem for nonlocal computation.

Findings

Information causality implies a broad class of Tsirelson inequalities.

Reliable nonlocal computation is fundamentally impossible in physical circuits.

The framework enables experimental testing of information causality principles.

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.