Quantum Co-Design of Inhomogeneous Many-Body Neutrino Fast Flavor Transformation
Abstract
Dense-neutrino flavor evolution is a quantum many-body problem whose fully correlated treatment becomes rapidly more expensive with increasing particle number and spatial structure. We develop a \texttt{QCNO} quantum simulation code that maps a inhomogeneous forward-scattering neutrino Hamiltonian with advection and finite-range interactions to TEBD2 product-formula quantum circuits, and connects ideal many-body simulation, backend-aware execution, and fault-tolerant resource estimation within t...
Description / Details
Dense-neutrino flavor evolution is a quantum many-body problem whose fully correlated treatment becomes rapidly more expensive with increasing particle number and spatial structure. We develop a \texttt{QCNO} quantum simulation code that maps a inhomogeneous forward-scattering neutrino Hamiltonian with advection and finite-range interactions to TEBD2 product-formula quantum circuits, and connects ideal many-body simulation, backend-aware execution, and fault-tolerant resource estimation within the same physical model. We reproduce the exact many-body evolution of the suppressed mean-field-like transverse fast flavor instability through and show that even a single open-boundary interaction generates Rënyi entanglement and non-stabilizer magic, although noisy backends still produce polarization RMSEs of order --. The restricted active interaction graph of this problem allows us to estimate the circuit depth and gate cost through for both NISQ and fault-tolerant approaches. The measured TEBD2 error in our fiducial ideal simulation of order motivates a synthesis tolerance , corresponding to about gates per rotation. The generated circuit contains gates per qubit for open boundaries (twice that for closed boundaries), requiring an application-level logical- error target of order for early fault-tolerant architectures.
Source: arXiv:2610.12334v1 - http://arxiv.org/abs/2610.12334v1 PDF: https://arxiv.org/pdf/2610.12334v1 Original Link: http://arxiv.org/abs/2610.12334v1
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Oct 9, 2026
Quantum Computing
Quantum Physics
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