From tensors to qubits

26 Jul 2021, 13:00
15m
Oral presentation Algorithms (including Machine Learning, Quantum Computing, Tensor Networks) Algorithms (including Machine Learning, Quantum Computing, Tensor Networks)

Speaker

Yannick Meurice (University of Iowa)

Description

We discuss recent progress in Tensor Lattice Field Theory and economical, symmetry preserving, truncations suitable for quantum computations/simulations. We focus on spin and gauge models with continuous Abelian symmetries such as the Abelian Higgs model and emphasize noise-robust implementations of Gauss's law. We discuss recent progress concerning the comparison between field digitizations and character expansions, symmetry breaking in tensor language, wave-packet preparation and possible new implementations of Abelian models using Rydberg atoms.

Primary author

Yannick Meurice (University of Iowa)

Co-authors

Alexei Bazavov (Michigan State University) Patrick Dreher (NC State University) Erik Gustafson (University of Iowa) Leon Hostetler (MSU) Dr Ryo Sakai (University of Iowa) Shan-Wen Tsai Judah Unmuth-Yockey (Fermi National Laboratory) Jin Zhang (University of Iowa)

Presentation materials