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Towards Max-Cut QAOA with Trapped Ion Crystals

ORAL

Abstract

Applications of near-term quantum computing hardware like the quantum approximate optimization algorithm (QAOA) motivate a desire to map application-specific coupling graphs to the native coupling graph between physical qubits. We show that a pairwise all-to-all entangling operator naturally realized with trapped ion crystals can be leveraged to produce the cost function for any Max-Cut graph of interest. We describe a novel 'union-of-stars' construction method and compare the required resources to Max-Cut QAOA constructions on other quantum hardware. Finally, we present initial progress towards realizing this scheme in the laboratory.

Publication: https://arxiv.org/abs/2011.08165

Presenters

  • Creston D Herold

    Georgia Tech Research Institute

Authors

  • Joel Rajakumar

    Georgia Institute of Technology

  • Jai Moondra

    Georgia Institute of Technology

  • Bryan T Gard

    Georgia Tech Research Institute

  • Swati Gupta

    Georgia Institute of Technology

  • Creston D Herold

    Georgia Tech Research Institute