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Related Experiment Videos

Characterization of complex quantum dynamics with a scalable NMR information processor.

C A Ryan1, J Emerson, D Poulin

  • 1Institute for Quantum Computing, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada.

Physical Review Letters
|December 31, 2005
PubMed
Summary

We measured quantum information processor fidelity decay using nuclear magnetic resonance. Results reveal differences in regular versus complex dynamics, confirming theoretical predictions for complex systems and offering a method to assess decoherence.

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Area of Science:

  • Quantum Information Science
  • Quantum Computing
  • Nuclear Magnetic Resonance

Background:

  • Understanding quantum system dynamics is crucial for developing robust quantum information processors.
  • Fidelity decay, a measure of quantum state degradation, is influenced by system complexity and environmental interactions.
  • Nuclear Magnetic Resonance (NMR) provides a controllable platform for experimental quantum information processing.

Purpose of the Study:

  • To experimentally measure and compare fidelity decay rates in a quantum information processor under different system dynamics.
  • To validate theoretical predictions of fidelity decay for both regular and complex quantum system behaviors.
  • To demonstrate the utility of the experimental method for characterizing large quantum system dynamics and measuring decoherence rates.

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Main Methods:

  • Implemented a scalable quantum circuit within the deterministic quantum computation model using a single qubit.
  • Utilized a nuclear magnetic resonance quantum information processor for experimental measurements.
  • Analyzed fidelity decay patterns across contrasting system dynamics (regular vs. complex).

Main Results:

  • Observed measurable differences in fidelity decay between regular and complex system dynamics.
  • Demonstrated that the observed decay rate for complex dynamics aligns faithfully with theoretical predictions.
  • Confirmed the experimental method's effectiveness in extracting coarse-grained information about system dynamics.

Conclusions:

  • The experimental approach effectively distinguishes between different quantum system dynamics based on fidelity decay.
  • The method provides a reliable way to assess decoherence rates in engineered environments.
  • This work contributes to the development of more robust and accurate quantum information processing technologies.