Variational Quantum Fidelity Estimation

ORAL

Abstract

We present an efficient, near-term algorithm for estimating the well-known fidelity, which quantifies the closeness of quantum states. Our algorithm is an important tool for verifying and characterizing states on a quantum computer. This work is timely given the industrial rise of quantum computing. Prior to our work, there was no efficient algorithm to estimate the fidelity that could be refined to arbitrary tightness. We solve this outstanding problem by introducing novel bounds on the fidelity that can be estimated with hybrid quantum-classical computation. We show that our approach can detect quantum phase transitions and cannot be classical simulated efficiently.

*This work was supported by the Center for Nonlinear Studies at Los Alamos National Laboratory (LANL) and by the LDRD program at LANL.

Presenters

  • Marco Cerezo de la Roca

    • Los Alamos National Laboratory, New Mexico
    • Los Alamos National Laboratory

Authors

  • Marco Cerezo de la Roca

    • Los Alamos National Laboratory, New Mexico
    • Los Alamos National Laboratory
  • Alexander Poremba

    • Computing and Mathematical Sciences, California Institute of Technology
  • Lukasz Cincio

    • Los Alamos National Laboratory
  • Patrick Coles

    • Los Alamos National Laboratory, New Mexico
    • Los Alamos National Laboratory