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This study introduces a new hardware-agnostic framework for modeling quantum system dynamics and noise on Noisy Intermediate Scale Quantum (NISQ) computers. The method simplifies and enhances the reliability of device calibration for improved quantum circuit performance.

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Area of Science:

  • Quantum Computing
  • Quantum Information Science
  • Quantum Dynamics and Noise Modeling

Background:

  • Noisy Intermediate Scale Quantum (NISQ) computers are crucial for testing quantum dynamics.
  • Evaluating NISQ device performance requires accurate modeling of noise and dynamics.
  • Existing calibration methods can be complex and computationally intensive.

Purpose of the Study:

  • To develop a hardware-agnostic framework for modeling Markovian noise and dynamics in quantum systems.
  • To simplify and improve the reliability of quantum device calibration procedures.
  • To enable real-time calibration and quantitative performance insights for quantum computers.

Main Methods:

  • A novel hardware-agnostic framework for modeling quantum system dynamics and noise.
  • Application and demonstration on IBM Quantum computers.
  • Simultaneous extraction of multiple calibration parameters.

Main Results:

  • The framework provides a simplified and more reliable calibration process compared to existing methods.
  • Enables real-time calibration of quantum hardware parameters.
  • Highlights qubit pair consistency, reducing computational cost.

Conclusions:

  • The proposed framework offers a reliable and efficient method for calibrating NISQ devices.
  • Facilitates quantitative performance assessment for future quantum circuit design.
  • Advances the benchmarking and usability of current quantum computing hardware.