PaperPanorama

Nuclear Theory·nucl-th

Friday·October 7, 2022

11 papers7 primary·4 cross-listed

  1. 08

    Form factor and model dependence in neutrino-nucleus cross section predictions

    Daniel Simons🇺🇸 · Noah Steinberg🇺🇸 · Alessandro Lovato🇺🇸 · Yannick Meurice🇺🇸 · Noemi Rocco🇺🇸 · Michael Wagman🇺🇸

    To achieve its design goals, the next generation of neutrino-oscillation accelerator experiments requires percent-level predictions of neutrino-nucleus cross sections supplemented by robust estimates of the theoretical uncertainties involved. The latter arise from both approximations in solving the nuclear many-body problem and in the determination of the single- and few-nucleon quantities taken as input by many-body methods. To quantify both types of uncertainty, we compute flux-averaged double-differential cross sections using the Green's function Monte Carlo and spectral function methods as well as different parameterizations of the nucleon axial form factors based on either deuterium bubble-chamber data or lattice quantum chromodynamics calculations. The cross-section results are compared with available experimental data from the MiniBooNE and T2K collaborations. We also discuss the uncertainties associated with transition form factors that enter the two-body current operator. We quantify the relations between neutrino-nucleus cross section and nucleon form factor uncertainties. These relations enable us to determine the form factor precision targets required to achieve a given cross-section precision.

    hep-phhep-latnucl-thJ.Phys.G(2025)·26 citations
  2. 09

    Internal Heating in Magnetars: Role of Electron Captures

    Nicolas Chamel🇧🇪 · Anthea Francesca Fantina🇫🇷 · Lami Suleiman🇵🇱 · Julian-Leszek Zdunik🇵🇱 · Pawel Haensel🇵🇱

    The role of electron captures by nuclei in the shallow heating of magnetars is further investigated using both nuclear measurements and the theoretical atomic mass table HFB-27. Starting from the composition of the outer crust in full equilibrium, we have calculated the onset of electron captures and the heat released due to the slow decay of the magnetic field. Numerical results are found to be similar to those previously obtained with the HFB-24 atomic mass model and are consistent with neutron-star cooling data.

    astro-ph.HEnucl-thJ.Phys.Conf.Ser.(2022)·1 citation
  3. 10

    Studying chirality imbalance with quantum algorithms

    Alexander M. Czajka🇺🇸 · Zhong-Bo Kang🇺🇸 · Yuxuan Tee🇺🇸 · Fanyi Zhao🇺🇸

    To describe the chiral magnetic effect, the chiral chemical potential is introduced to imitate the impact of topological charge changing transitions in the quark-gluon plasma under the influence of an external magnetic field. We employ the (1+1) dimensional Nambu-Jona-Lasinio (NJL) model to study the chiral phase structure and chirality charge density of strongly interacting matter with finite chiral chemical potential in a quantum simulator. By performing the Quantum imaginary time evolution (QITE) algorithm, we simulate the (1+1) dimensional NJL model on the lattice at various temperature and chemical potentials , and find that the quantum simulations are in good agreement with analytical calculations as well as exact diagonalization of the lattice Hamiltonian.

    hep-phhep-exhep-latnucl-th+17 citations
  4. 11

    Quantum computation of dynamical quantum phase transitions and entanglement tomography in a lattice gauge theory

    Niklas Mueller🇺🇸 · Joseph A. Carolan🇺🇸 · Andrew Connelly🇺🇸 · Zohreh Davoudi🇺🇸 · Eugene F. Dumitrescu🇺🇸 · Kübra Yeter-Aydeniz🇺🇸

    Strongly-coupled gauge theories far from equilibrium may exhibit unique features that could illuminate the physics of the early universe and of hadron and ion colliders. Studying real-time phenomena has proven challenging with classical-simulation methods, but is a natural application of quantum simulation. To demonstrate this prospect, we quantum compute non-equal time correlation functions and perform entanglement tomography of non-equilibrium states of a simple lattice gauge theory, the Schwinger model, using a trapped-ion quantum computer by IonQ Inc. As an ideal target for near-term devices, a recently-predicted [Zache et al., Phys. Rev. Lett. 122, 050403 (2019)] dynamical quantum phase transition in this model is studied by preparing, quenching, and tracking the subsequent non-equilibrium dynamics in three ways: i) overlap echos signaling dynamical transitions, ii) non-equal time correlation functions with an underlying topological nature, and iii) the entanglement structure of non-equilibrium states, including entanglement Hamiltonians. These results constitute the first observation of a dynamical quantum phase transition in a lattice gauge theory on a quantum computer, and are a first step toward investigating topological phenomena in nuclear and high-energy physics using quantum technologies.

    quant-phhep-lathep-phnucl-thPRX Quantum(2023)·97 citations

Affiliations

first authorsco-authorsvia INSPIRE