Hardware-Centric Quantum Computing for Noisy Systems

Invited

Abstract

Abstract: Improvements in the availability and size of quantum information processing platforms motivates hybrid classical-quantum computing methods which rely on noisy intermediate scale quantum (NISQ) devices. In contrast to fault tolerant computing, which abstracts away many implementation details, NISQ computing may benefit from a detailed understanding of analog dynamics. In this talk, I will present recent work detailing i) the characterization of Hamiltonian dynamics in open quantum systems and ii) the use of Hamiltonian controls to suppress noise sources. An analysis of the potential to improve hybrid algorithmic performance is made in both cases.

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Authors

  • John Yelton

    North Carolina Central University, Louisiana State University, North Carolina State University, Vanderbilt University, University of Virginia, Jefferson Lab, Oak Ridge National Laboratory, Duke University, Georgia Tech Research Institute, General Electric Power, University of the Virgin Islands, University of Florida, University of Alabama, Huntsville, Universities Space Research Association, University of Miami, NC State University, Virginia Polytechnic Institute and State University