Simulation of collective neutrino oscillations on a quantum computer

Benjamin Hall, Alessandro Roggero, Alessandro Baroni, Joseph Carlson

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

In astrophysical scenarios with large neutrino density, like supernovae and the early universe, the presence of neutrino-neutrino interactions can give rise to collective flavor oscillations in the out-of-equilibrium collective dynamics of a neutrino cloud. The role of quantum correlations in these phenomena is not yet well understood, in large part due to complications in solving for the real-time evolution of the strongly coupled many-body system. Future fault-tolerant quantum computers hold the promise to overcome much of these limitations and provide direct access to the correlated neutrino dynamic. In this work, we present the first simulation of a small system of interacting neutrinos using current generation quantum devices. We introduce a strategy to overcome limitations in the natural connectivity of the qubits and use it to track the evolution of entanglement in real-time. The results show the critical importance of error-mitigation techniques to extract meaningful results for entanglement measures using noisy, near term, quantum devices.

Original languageEnglish
Article number063009
JournalPhysical Review D
Volume104
Issue number6
DOIs
StatePublished - Sep 15 2021
Externally publishedYes

Funding

This work was supported by the InQubator for Quantum Simulation under U.S. DOE Grant No. DE-SC0020970, by the Quantum Science Center (QSC), a National Quantum Information Science Research Center of the U.S. Department of Energy (DOE), by the U.S. Department of Energy under Grants No. DE-FG02-00ER41132, No. DE-SC0021152 and by the U.S. National Science Foundation under Grants No. PHY-1404159 and No. PHY-2013047. B. H. acknowledges support from the U.S. Department of Energy (DOE) through a quantum computing program sponsored by the Los Alamos National Laboratory (LANL) Information Science & Technology Institute. We acknowledge use of the IBM Q for this work. The views expressed are those of the authors and do not reflect the official policy or position of IBM or the IBM Q team.

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