# Seattle Snowmass Summer Meeting 2022

Jul 16 – 26, 2022
US/Pacific timezone

## Quantum Computing Simulation for Collective Neutrino Oscillations

Jul 18, 2022, 7:00 PM
2h 20m
211 South Ballroom (HUB)

### Speaker

Valentina Amitrano (University of Trento (Italy))

### Description

Studies of neutrinos from astrophysical environments such as core-collapse supernovae, neutron star mergers and the early universe provide a large amount of information about various phenomena occurring in them. The description of the flavor oscillation is a crucial aspect for such studies, since the physics of matter under extreme conditions is strongly flavor-dependents (nucleosynthesis, proton/neutron ratio, spectral splits...).
It is well known that the neutrino flavor changes under the effect of 3 contributions: the vacuum oscillation, the interaction with the electrons of the surrounding matter, and the collective oscillations due to interactions between different neutrinos.
This last effect adds a non-linear contribution to the equations of motion, making the exact simulation of such a system inaccessible from any current classical computational resource.

Our goal is to describe the real time evolution of a system of many neutrinos by implementing the unitary propagator $U(t) = e^{-iHt}$ using quantum computation and paying attention to the fact that the flavor Hamiltonian $H$, in the presence of neutrino-neutrino term, presents an all-to-all interaction
that makes the implementation of $U(t)$, into a quantum algorithm, strongly dependent on the qubit topology.
In this contribution we present an efficient way to simulate the coherent collective oscillations of a system of $N$ neutrinos motivating the benefits of full-qubit connectivity which allows for more freedom in gate decomposition and a smaller number of quantum gates making simulation on near-term quantum devises more feasible.
We present the results obtained from a real quantum simulation on a trapped-ions based quantum machine for the cases of $N=4$ and $N=8$ neutrinos.

In-person or Virtual? In-person

### Primary author

Valentina Amitrano (University of Trento (Italy))

### Co-authors

Prof. Alessandro Roggero (University of Trento) Prof. Francesco Pederiva (University of Trento) Dr Piero Luchi (University of Trento) Dr Francesco Turro (University of Trento)

### Presentation materials

 Poster_Neutrini.pdf Video_poster.mp4