• Open Access

Deeply inelastic scattering structure functions on a hybrid quantum computer

Niklas Mueller, Andrey Tarasov, and Raju Venugopalan
Phys. Rev. D 102, 016007 – Published 13 July 2020

Abstract

We outline a strategy to compute deeply inelastic scattering structure functions using a hybrid quantum computer. Our approach takes advantage of the representation of the fermion determinant in the QCD path integral as a quantum mechanical path integral over 0+1-dimensional fermionic and bosonic worldlines. The proper time evolution of these worldlines can be determined on a quantum computer. While extremely challenging in general, the problem simplifies in the Regge limit of QCD, where the interaction of the worldlines with gauge fields is strongly localized in proper time and the corresponding quantum circuits can be written down. As a first application, we employ the color glass condensate effective theory to construct the quantum algorithm for a simple dipole model of the F2 structure function. We outline further how this computation scales up in complexity and extends in scope to other real-time correlation functions.

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  • Received 29 August 2019
  • Accepted 24 June 2020

DOI:https://doi.org/10.1103/PhysRevD.102.016007

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyNuclear PhysicsParticles & Fields

Authors & Affiliations

Niklas Mueller1,*, Andrey Tarasov1,2,3,†, and Raju Venugopalan1,‡

  • 1Physics Department, Brookhaven National Laboratory, Building 510A, Upton, New York 11973, USA
  • 2Department of Physics, The Ohio State University, Columbus, Ohio 43210, USA
  • 3Joint BNL-SBU Center for Frontiers in Nuclear Science (CFNS) at Stony Brook University, Stony Brook, New York 11794, USA

  • *nmueller@bnl.gov
  • tarasov.3@osu.edu
  • raju@bnl.gov

Article Text

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Issue

Vol. 102, Iss. 1 — 1 July 2020

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