Using chaotic quantum maps as a test of current quantum computing hardware fidelity

ORAL

Abstract

In this work, the dynamics of chaotic quantum maps is explored via simulation as a means to test the fidelity of emerging quantum computing hardware. Quantum computers promise to deliver enormous gains in computational power that can potentially be used to benefit Fusion Energy Sciences (FES). Through the quantum-classical correspondence principle, quantum systems of sufficiently large quantum number (or number of qubits) can approximate classical dynamics. Here we study the simplest types of chaotic dynamical systems, defined by classical and quantum maps. It's been shown that quantum maps with simple noise models can recreate small-scale classical phase space structures in the limit of many qubits [G. Benenti, et al. Phys. Rev. Lett. \textbf{87}, 227901-1 (2001)]. They can also deviate from the classical dynamics and display dynamical Anderson localization. A key next question is whether phase space structures can be clearly observed with current hardware, such as the LLNL Quantum Design and Integration Testbed (QuDIT) quantum computing platform. This is examined via simulations with experimentally derived noise models for the QuDIT platform.

*Work for LLNL-ABS-812061 was prepared for US DOE by LLNL under Contract DE-AC52-07NA27344 and was supported by the DOE Office of Fusion Energy Sciences “Quantum Leap for Fusion Energy Sciences” project AT1030200-SCW1680.

Authors

  • Max Porter

    • Lawrence Livermore National Laboratory
  • Ilon Joseph

    • Lawrence Livermore National Laboratory
  • Jeff Parker

    • Lawrence Livermore National Laboratory
  • Alessandro Castelli

    • Lawrence Livermore National Laboratory
  • Vasily Geyko

    • Lawrence Livermore National Laboratory
  • Frank Graziani

    • Lawrence Livermore National Laboratory
  • Stephen Libby

    • Lawrence Livermore National Laboratory
  • Yaniv Rosen

    • Lawrence Livermore National Laboratory
  • Yuan Shi

    • Lawrence Livermore National Laboratory
  • Jonathan DuBois

    • Lawrence Livermore National Laboratory