Superfast encodings for fermionic quantum simulation

ORAL

Abstract

Here we revisit the Superfast Encoding introduced by Kitaev and one of the authors. This encoding maps a target fermionic Hamiltonian with two-body interactions on a graph of degree dto a qubit simulator Hamiltonian composed of Pauli operators of weight O(d). A system of m fermi modes gets mapped to n=O(md) qubits. We propose Generalized Superfast Encodings (GSE) which require the same number of qubits as the original one but have more favorable properties. First, we describe a GSE such that the corresponding quantum code corrects any single-qubit error provided that the interaction graph has degree d≥6. In contrast, we prove that the original Superfast Encoding lacks the error correction property for d≤6. Secondly, we describe a GSE that reduces the Pauli weight of the simulator Hamiltonian from O(d)to O(logd). The robustness against errors and a simplified structure of the simulator Hamiltonian offered by GSEs can make simulation of fermionic systems within the reach of near-term quantum devices. As an example, we apply the new encoding to the fermionic Hubbard model on a 2D lattice.

*AM and SB supported by: IBM Research Frontiers Institute and KS and JDW partly supported by:NSF awards DMR-1747426, 1820747.

Presenters

  • Kanav Setia

    • Dartmouth College

Authors

  • Kanav Setia

    • Dartmouth College
  • Sergey Bravyi

    • IBM Thomas J. Watson Research Center
    • IBM
  • Antonio Mezzacapo

    • IBM
  • James Whitfield

    • Department of Physics and Astronomy, Dartmouth College
    • Dartmouth College