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Direct characterization of quantum dynamics.

M Mohseni1, D A Lidar

  • 1Department of Physics, University of Toronto, 60 St. George St., Toronto, Ontario, M5S 1A7, Canada.

Physical Review Letters
|December 13, 2006
PubMed
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We introduce a new direct characterization of quantum dynamics (DCQD) algorithm that bypasses quantum state tomography. This method uses error detection for efficient quantum dynamics characterization, applicable even with current technology.

Area of Science:

  • Quantum mechanics
  • Quantum information science

Background:

  • Characterizing quantum dynamics is crucial in quantum mechanics.
  • Quantum process tomography (QPT) is the standard method.

Purpose of the Study:

  • To present an alternative algorithm for characterizing quantum dynamics.
  • To develop a method that avoids quantum state tomography.

Main Methods:

  • Introduced a "direct characterization of quantum dynamics" (DCQD) algorithm.
  • The algorithm utilizes error-detection techniques.
  • Does not require quantum state tomography.

Main Results:

  • The DCQD algorithm can be used to obtain partial information about quantum dynamics.
  • Demonstrated experimental implementability in various quantum systems.

Related Experiment Videos

  • Showcased realization in photonic systems with current technology.

    • Conclusions:

    • The DCQD algorithm offers a novel approach to characterizing quantum dynamics.
    • It provides a practical and experimentally feasible alternative to QPT.
    • Enables efficient partial characterization of quantum systems.