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On the general constraints in single qubit quantum process tomography.

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This study reviews single-qubit quantum process tomography, detailing constraints for fitting experimental data. It offers new insights into process matrix structures, including qubit leakage errors.

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Area of Science:

  • Quantum Information Science
  • Quantum Computing
  • Quantum Measurement

Background:

  • Quantum process tomography (QPT) is essential for characterizing quantum operations.
  • Understanding both trace-preserving and non-trace-preserving processes is crucial for accurate quantum system analysis.
  • Existing methods may not fully capture the nuances of experimental data fitting.

Purpose of the Study:

  • To review and derive explicit constraints for single-qubit quantum process tomography.
  • To provide deeper insights into the structure of the process matrix.
  • To illustrate the application of these methods using qubit leakage error models.

Main Methods:

  • Review of established single-qubit quantum process tomography techniques.
  • Derivation of general constraints for fitting experimental data in quantum process tomography.
  • Analysis of process matrices, including those derived from qubit leakage error models.

Main Results:

  • Explicit forms of general constraints for fitting experimental data in quantum process tomography were derived.
  • The derived constraints offer enhanced understanding of the process matrix structure.
  • Illustrative examples demonstrate the practical application and interpretability of process matrices, particularly for leakage errors.

Conclusions:

  • The derived constraints improve the accuracy and interpretability of single-qubit quantum process tomography.
  • Process matrix analysis, especially concerning leakage errors, yields valuable insights into quantum system behavior.
  • This work provides a more robust framework for characterizing quantum processes.