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Simulating quantum light in plasmas using programmable qubits

POSTER

Abstract

Light-plasma interactions are usually explored in the classical limit of laser light, which is a coherent state of photons. However, photons can occupy intrinsically quantum states, such as squeezed states, that are expensive to simulate using classical computers. Here, we develop a quantum model of plasma-mediated light amplification and demonstrate a two-qubit simulation on quantum hardware. Using the best-performing qubits, we show that the exact unitary, which maps initial to final states, can be realized to high fidelity. However, error mitigation is required before the quantum device can be used to simulate beyond a few time steps. We employ random compilation to suppress coherent error accumulation, such that each time step uses a different but equivalent gate sequence. Moreover, to account for decoherence, we rescale the exponentially decaying probability amplitudes using rates measured from randomized benchmarking. Finally, we reduce gate depth by merging single-qubit gates using optimal control and reducing two-qubit gate pulse duration using parametric entanglers. Using these techniques with readout error mitigation, present-day quantum hardware can advance enough time steps to capture interesting nonlinear dynamics.

Presenters

  • Yuan Shi

    LLNL, Lawrence Livermore Natl Lab

Authors

  • Yuan Shi

    LLNL, Lawrence Livermore Natl Lab

  • Vinay Tripathi

    Univ of Southern California

  • Bram Evert

    Rigetti Quantum Computing

  • Yujin Cho

    Lawrence Livermore National Laboratory, Lawrence Livermore Natl Lab

  • Amy F Brown

    University of Southern California

  • Max D Porter

    Lawrence Livermore Natl Lab

  • Xian Wu

    Rigetti Quantum Computing

  • Vasily I Geyko

    Lawrence Livermore Natl Lab

  • Alexander D Hill

    Rigetti Quantum Computing

  • Christina Young

    Rigetti Quantum Computing

  • Eyob A Sete

    Rigetti Quantum Computing

  • Ilon Joseph

    Lawrence Livermore Natl Lab

  • Daniel A Lidar

    University of Southern California

  • Jonathan L DuBois

    Lawrence Livermore National Laboratory

  • Matthew J Reagor

    Rigetti Quantum Computing