Toward convergence of effective-field-theory simulations on digital quantum computers

O. Shehab, K. Landsman, Y. Nam, D. Zhu, N. M. Linke, M. Keesan, R. C. Pooser, and C. Monroe
Phys. Rev. A 100, 062319 – Published 16 December 2019
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Abstract

We report results for simulating an effective field theory to compute the binding energy of the deuteron nucleus using a hybrid algorithm on a trapped-ion quantum computer. Two increasingly complex unitary coupled-cluster ansatze have been used to compute the binding energy to within a few percent for successively more complex Hamiltonians. By increasing the complexity of the Hamiltonian, allowing more terms in the effective field theory expansion, and calculating their expectation values, we present a benchmark for quantum computers based on their ability to scalably calculate the effective field theory with increasing accuracy. Our result of E4=2.220±0.179 MeV may be compared with the exact deuteron ground-state energy 2.224 MeV. We also demonstrate an error mitigation technique using Richardson extrapolation on ion traps. The error mitigation circuit represents a record for deepest quantum circuit on a trapped-ion quantum computer.

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  • Received 12 April 2019
  • Revised 21 November 2019

DOI:https://doi.org/10.1103/PhysRevA.100.062319

©2019 American Physical Society

Physics Subject Headings (PhySH)

Atomic, Molecular & OpticalNuclear PhysicsQuantum Information, Science & Technology

Authors & Affiliations

O. Shehab1, K. Landsman2, Y. Nam1, D. Zhu2, N. M. Linke2, M. Keesan1, R. C. Pooser3,4, and C. Monroe2,1

  • 1IonQ, Inc, 4505 Campus Drive, College Park, Maryland 20740, USA
  • 2Joint Quantum Institute, Department of Physics and Joint Center for Quantum Information and Computer Science, University of Maryland, College Park, Maryland 20742, USA
  • 3Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
  • 4Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee 37996, USA

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Issue

Vol. 100, Iss. 6 — December 2019

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