Jul 26 – 30, 2021
US/Eastern timezone

Simulation of Open LFT

Jul 26, 2021, 1:45 PM
15m
Oral presentation Algorithms (including Machine Learning, Quantum Computing, Tensor Networks) Algorithms (including Machine Learning, Quantum Computing, Tensor Networks)

Speaker

Michael Hite (University of Iowa)

Description

Open lattice field theories are useful in describing many physical systems. Yet their implementation in traditional quantum computing is hindered by the requirement of Hermiticity. One method used to overcome this is embedding the non-Hermitian system within a larger Hermitian system by introducing ancillary qubits. We implement the transverse Ising Model with an addition of an imaginary longitudinal magnetic field. We show for two-qubit systems this method works very well. For larger systems in the NISQ era, a robust noise model is needed. We investigate the robustness to noise of this methodology for larger quantum systems using a QISKIT-based noise model.

Primary author

Michael Hite (University of Iowa)

Co-authors

Jay Hubisz (Syracuse University) Bharath Sambasivam (Syracuse University) Erik Gustafson (University of Iowa) Judah Yockey (Fermilab)

Presentation materials