Hamiltonian and Lindbladian Parameter Estimation

ORAL

Abstract

Estimating the parameters governing the dynamics of a system is a prerequisite for its control. We present a simple but powerful new method to estimate the Hamiltonian (or Lindbladian) governing a quantum system of a few qubits. Our method makes efficient use of all measurements taken of the system and it saturates the information-theoretic limits for such an estimator. Importantly, it is inherently robust to state preparation and measurement errors. It is not limited to evaluating only a fixed set of possible gates, rather it estimates the complete Hamiltonian of the system. The estimator is applicable to any Hamiltonian that can be written as a piecewise-differentiable function and it can easily include estimators for the non-unitary parameters as well. At the heart of our approach is a stochastic gradient descent over the difference between experimental measurement and model prediction.

Presenters

  • Stefan Krastanov

    • Departments of Physics and Applied Physics, Yale University

Authors

  • Stefan Krastanov

    • Departments of Physics and Applied Physics, Yale University
  • Sisi Zhou

    • Departments of Physics and Applied Physics, Yale University
  • Steven Flammia

    • Univ of Sydney
    • School of Physics, University of Sydney
    • Unversity of Sydney, Yale University, Quantum Benchmark
    • University of Sydney; Yale University; Quantum Benchmark Inc.
  • Liang Jiang

    • Yale Univ
    • Applied Physics, Yale University
    • Departments of Physics and Applied Physics, Yale University
    • Departments of Applied Physics and Physics, Yale Univ
    • Department of Applied Physics and Physics, Yale University