Globally Optimizing QAOA Circuit Depth for Constrained Optimization Problems

We develop a global variable substitution method that reduces <i>n</i>-variable monomials in combinatorial optimization problems to equivalent instances with monomials in fewer variables. We apply this technique to 3-SAT and analyze the optimal quantum unitary circuit depth needed to sol...

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Main Authors: Rebekah Herrman, Lorna Treffert, James Ostrowski, Phillip C. Lotshaw, Travis S. Humble, George Siopsis
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/14/10/294
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author Rebekah Herrman
Lorna Treffert
James Ostrowski
Phillip C. Lotshaw
Travis S. Humble
George Siopsis
author_facet Rebekah Herrman
Lorna Treffert
James Ostrowski
Phillip C. Lotshaw
Travis S. Humble
George Siopsis
author_sort Rebekah Herrman
collection DOAJ
description We develop a global variable substitution method that reduces <i>n</i>-variable monomials in combinatorial optimization problems to equivalent instances with monomials in fewer variables. We apply this technique to 3-SAT and analyze the optimal quantum unitary circuit depth needed to solve the reduced problem using the quantum approximate optimization algorithm. For benchmark 3-SAT problems, we find that the upper bound of the unitary circuit depth is smaller when the problem is formulated as a product and uses the substitution method to decompose gates than when the problem is written in the linear formulation, which requires no decomposition.
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spelling doaj.art-cf21f31684ce4d1b9b954f5bbc4effb62023-11-22T17:08:29ZengMDPI AGAlgorithms1999-48932021-10-01141029410.3390/a14100294Globally Optimizing QAOA Circuit Depth for Constrained Optimization ProblemsRebekah Herrman0Lorna Treffert1James Ostrowski2Phillip C. Lotshaw3Travis S. Humble4George Siopsis5Department of Industrial and Systems Engineering, University of Tennessee at Knoxville, Knoxville, TN 37996, USADepartment of Industrial and Systems Engineering, University of Tennessee at Knoxville, Knoxville, TN 37996, USADepartment of Industrial and Systems Engineering, University of Tennessee at Knoxville, Knoxville, TN 37996, USAQuantum Computing Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USAQuantum Computing Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USADepartment of Physics and Astronomy, University of Tennessee at Knoxville, Knoxville, TN 37996-1200, USAWe develop a global variable substitution method that reduces <i>n</i>-variable monomials in combinatorial optimization problems to equivalent instances with monomials in fewer variables. We apply this technique to 3-SAT and analyze the optimal quantum unitary circuit depth needed to solve the reduced problem using the quantum approximate optimization algorithm. For benchmark 3-SAT problems, we find that the upper bound of the unitary circuit depth is smaller when the problem is formulated as a product and uses the substitution method to decompose gates than when the problem is written in the linear formulation, which requires no decomposition.https://www.mdpi.com/1999-4893/14/10/294quantum approximate optimization algorithmcircuit depth3-SAT
spellingShingle Rebekah Herrman
Lorna Treffert
James Ostrowski
Phillip C. Lotshaw
Travis S. Humble
George Siopsis
Globally Optimizing QAOA Circuit Depth for Constrained Optimization Problems
Algorithms
quantum approximate optimization algorithm
circuit depth
3-SAT
title Globally Optimizing QAOA Circuit Depth for Constrained Optimization Problems
title_full Globally Optimizing QAOA Circuit Depth for Constrained Optimization Problems
title_fullStr Globally Optimizing QAOA Circuit Depth for Constrained Optimization Problems
title_full_unstemmed Globally Optimizing QAOA Circuit Depth for Constrained Optimization Problems
title_short Globally Optimizing QAOA Circuit Depth for Constrained Optimization Problems
title_sort globally optimizing qaoa circuit depth for constrained optimization problems
topic quantum approximate optimization algorithm
circuit depth
3-SAT
url https://www.mdpi.com/1999-4893/14/10/294
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AT lornatreffert globallyoptimizingqaoacircuitdepthforconstrainedoptimizationproblems
AT jamesostrowski globallyoptimizingqaoacircuitdepthforconstrainedoptimizationproblems
AT phillipclotshaw globallyoptimizingqaoacircuitdepthforconstrainedoptimizationproblems
AT travisshumble globallyoptimizingqaoacircuitdepthforconstrainedoptimizationproblems
AT georgesiopsis globallyoptimizingqaoacircuitdepthforconstrainedoptimizationproblems