Low-cost error mitigation by symmetry verification

By X. Bonet-Monroig, R. Sagastizabal, M. Singh, T. O’Brien. Physical Review A, 2018

261 citations recorded by the source corpus.

We investigate the performance of error mitigation via measurement of conserved symmetries on near-term devices. We present two protocols to measure conserved symmetries during the bulk of an experiment, and develop a third, zero-cost, post-processing protocol which is equivalent to a variant of the quantum subspace expansion. We develop methods for inserting global and local symmetries into quantum algorithms, and for adjusting natural symmetries of the problem to boost the mitigation of errors produced by different noise channels. We demonstrate these techniques on two- and four-qubit simulations of the hydrogen molecule (using a classical density-matrix simulator), finding up to an order of magnitude reduction of the error in obtaining the ground-state dissociation curve.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/6f8b68026cc119b65c7ed0ca272502704fc47ee4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Patrick J. Coles
  2. M. Cerezo
  3. Lukasz Cincio
  4. Suguru Endo
  5. Piotr Czarnik
  6. Simon C. Benjamin
  7. Jarrod R. McClean
  8. Andrew Arrasmith

In Atomic and Molecular Physics, and Optics

  1. Patrick J. Coles
  2. Suguru Endo
  3. M. Cerezo
  4. Lukasz Cincio
  5. Simon C. Benjamin
  6. Xiao Yuan
  7. Ying Li
  8. Jarrod R. McClean

Citations in the corpus