How Gaussian can the Sky be? Primordial Non-Gaussianity from Quantum Information

Abstract

Using the quantum information picture to describe the early universe as a time dependent quantum density matrix, with time playing the role of a stochastic variable, we compute the non-gaussian features in the distribution of primordial fluctuations. We use a quasi de Sitter model to compute the corresponding quantum Fisher information function as the second derivative of the relative entanglement entropy for the density matrix at two different times. We define the curvature fluctuations in terms of the time quantum estimator. Using standard quantum estimation theory we compute the non-gaussian features in the statistical distribution of primordial fluctuations. Our approach is model independent and only relies on the existence of a quasi de Sitter phase. We show that there are primordial non-gaussianities, both in the form of squeezed and equilateral shapes. The squeezed limit gives a value of $f_{\mathrm{NL}}\sim n_s-1$. In the equilateral limit we find that $f_{\mathrm{NL}}\sim 0.03$. The equilateral non-gaussianity is due to the non-linearity of Einstein's equation. On the other hand, the squeezed one is due to the quantum nature of clock synchronization and thus real and cannot be gauged away as a global curvature. We identify a new effect: {\it clock bias} which is a pure quantum effect and introduces a bias in the spectral tilt and running of the power spectrum of order $\sim 10^{-4}$, which could be potentially measurable and yield precious information on the quantum nature of the early Universe.

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• Quantum Fisher Cosmology: Confronting Observations and the Trans-Planckian Problem
• The Quantum Origin of Quasi de Sitter: a Model Independent Quantum Cosmological Tilt
• The quantum cosmological tilt and the origin of dark matter
• Breaking the Single Clock Symmetry: measuring single-field inflation non-Gaussian features
• Topological susceptibility and information theory
• The quantum de Sitter root of quasi de Sitter observables: a pedagogical review