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Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
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Published on: May 30, 2014

Efficient quantum state tomography.

Marcus Cramer1, Martin B Plenio, Steven T Flammia

  • 1Institut für Theoretische Physik, Universität Ulm, Albert-Einstein Allee 11, 89069 Ulm, Germany. marcus.cramer@uni-ulm.de

Nature Communications
|January 27, 2011
PubMed
Summary
This summary is machine-generated.

We developed new quantum state tomography methods that scale efficiently with system size. These techniques reduce the exponential measurement and computation costs, making quantum device verification feasible for larger systems.

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Area of Science:

  • Quantum Information Science
  • Quantum Computing
  • Quantum Measurement

Background:

  • Quantum state tomography (QST) is crucial for verifying quantum devices but becomes computationally intractable for large systems due to exponential scaling.
  • Current QST methods require an exponentially increasing number of measurements and processing power with system size, limiting their application.

Purpose of the Study:

  • To develop novel QST schemes that overcome the exponential scaling limitations of traditional methods.
  • To enable efficient verification and benchmarking of larger quantum systems.

Main Methods:

  • Introduced two QST schemes with favorable scaling properties compared to direct tomography.
  • One scheme utilizes a constant number of subsystem unitary operations.
  • The other scheme employs local measurements with advanced post-processing.

Main Results:

  • Both presented schemes exhibit linear scaling in experimental operations and polynomial scaling in post-processing with system size.
  • These methods are applicable to diverse quantum states, especially matrix product states.
  • Rigorous certification of reconstructed state accuracy is possible without prior assumptions.

Conclusions:

  • The developed QST schemes offer a practical solution for scaling quantum state verification.
  • These advancements are vital for the progress of quantum computing and related technologies.
  • The new methods significantly reduce the resource overhead for characterizing quantum systems.