In anisotropic neutrino gases, νν-bar pairing instabilities emerge when the excessive pair-occupation number distribution changes sign, producing pair conversions at growth rates comparable to fast flavor instabilities.
Johns, Neutrino many-body correlations, arXiv preprint arXiv:2305.04916 (2023)
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A tensor-network method enables simulations of inhomogeneous many-body neutrino flavor instabilities, showing earlier equilibration than mean-field approximations with differences arising from initial configurations and boundaries.
Many-body correlations disrupt the inhomogeneous fast flavor instability, with flavor transformation timescale scaling logarithmically with system size.
New algorithms based on Dicke states enable qubit-efficient quantum simulations of collective neutrino oscillations with demonstrated performance on classical and quantum hardware.
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In anisotropic neutrino gases, νν-bar pairing instabilities emerge when the excessive pair-occupation number distribution changes sign, producing pair conversions at growth rates comparable to fast flavor instabilities.
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A tensor-network method enables simulations of inhomogeneous many-body neutrino flavor instabilities, showing earlier equilibration than mean-field approximations with differences arising from initial configurations and boundaries.
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Many-body correlations disrupt the inhomogeneous fast flavor instability, with flavor transformation timescale scaling logarithmically with system size.
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