Tensor network simulations of two-flavor neutrinos link spectral splits to peaks in entanglement entropy and local minima in non-local magic, indicating resource redistribution drives the phenomenon.
Three-flavor supernova neutrino simulation using a hybrid quantum-classical algorithm with qutrits
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abstract
We simulate a self-interacting three-flavor neutrino system within a core-collapse supernova using a hybrid classical-quantum algorithm on a qutrit computer. Based on the Dirac-Frenkel evolution equations, we employ a variation of the quantum-assisted simulator (QAS) to calculate the system's time evolution operator by performing qutrit Hadamard tests to find expectation values of unitary operators in the Hamiltonian. The time evolution simulation is then done classically. We find that the hybrid algorithm produces results comparable to an exact numerical integration out to times of $t \approx 30 \,\omega_0^{-1}$ with time step $\delta t = 0.005 \,\omega_0^{-1}$, where $\omega_0$ is the energy scale of the single neutrino vacuum oscillations. We discuss the lessons learned in simulating neutrino systems using this hybrid quantum-classical algorithm, along with the advantages it offers over quantum Trotterization.
fields
quant-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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Quantum resource redistribution drives spectral splits in dense neutrino gases
Tensor network simulations of two-flavor neutrinos link spectral splits to peaks in entanglement entropy and local minima in non-local magic, indicating resource redistribution drives the phenomenon.