Speaker
Description
Classical simulation of neutrino oscillations faces multiple computational challenges such as simulating collective neutrino systems and incorporating complex quantum effects (correlations in neutrino-neutrino interactions, decoherence, matter effects, etc.). Quantum computing presents an alternative to overcome these challenges, because of its inherent quantum properties it can perform actual Hamiltonian evolution of quantum systems rather than emulating them. Following the circuit designed in [1] that encodes all three PMNS parameters (\theta_12,\theta_23,\theta_13), we simulated neutrino oscillations with different L/E ranges at the Deep Undergroud Neutrino Experiment (DUNE) baseline distance of L= 1285 km on a subspace of a two-qubit Hilbert space. The circuit is composed of an array of U3 and C-NOT gates to obtain the PMNS matrix. Comparisons between IBM publicly available quantum processors (ibm_brisbane) results and classical calculations shows excellent agreement. This work highlights the potential of quantum computers for exploring the physics of neutrino oscillations.
References
[1] Arguelles, C. A., Jones, B. J. P. (2019). Neutrino oscillations in a quantum processor. Physical Review Research, 1(3).