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Area of Science:

  • Quantum Information Science
  • Quantum Computing
  • Quantum Error Characterization

Background:

  • Gate set tomography (GST) is crucial for characterizing quantum logic gates and identifying errors in quantum processors.
  • Traditional GST demands substantial data and computational power, limiting its scalability.
  • Accurate characterization is essential for building reliable quantum computers.

Purpose of the Study:

  • To develop a more computationally efficient GST protocol for qudits (quantum systems with more than two states).
  • To reduce the resource requirements for accurate quantum gate and error estimation.
  • To enhance the practicality of GST for large-scale quantum computing applications.

Main Methods:

  • Proposed an efficient GST approach for qudits using Hadamard and virtual Z gates.
  • Constructed fiducial sets leveraging these gates.
  • Assumed virtual Z gates to be error-free to simplify the model estimation process.

Main Results:

  • Significantly reduced the computational costs associated with estimating GST characterization results.
  • Demonstrated the experimental viability of the proposed efficient GST method.
  • Successfully applied the approach to a superconducting transmon qutrit.

Conclusions:

  • The novel GST method offers a practical and scalable solution for qudit characterization.
  • Reduced computational overhead makes complex quantum processor analysis more accessible.
  • This advancement facilitates the development of more robust and larger quantum systems.