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A scheme for efficient quantum computation with linear optics.

E Knill1, R Laflamme, G J Milburn

  • 1Los Alamos National Laboratory, MS B265, Los Alamos, New Mexico 87545, USA. knill@lanl.gov

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Summary
This summary is machine-generated.

This study demonstrates efficient quantum computation using only basic optical components and feedback, overcoming previous limitations for scalable quantum technology. These methods are robust against errors and feasible with current experimental capabilities.

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Area of Science:

  • Quantum Information Science
  • Quantum Computing
  • Photonics

Background:

  • Quantum computers offer significant advantages for complex problems like large integer factorization and quantum simulations.
  • Implementing reliable and scalable quantum computational elements is a major challenge in the field.
  • Early quantum computation proposals using photons required difficult non-linear couplings.

Purpose of the Study:

  • To demonstrate efficient quantum computation using only linear optical elements and photon detection.
  • To overcome the limitations of previous photonic quantum computing proposals.
  • To develop methods robust against photon loss and detector inefficiencies.

Main Methods:

  • Utilizing beam splitters, phase shifters, single photon sources, and photo-detectors.
  • Implementing feedback mechanisms based on photo-detector outputs.
  • Designing a system that relies on photon interference and detection.

Main Results:

  • Efficient quantum computation is achievable with only linear optical components.
  • The proposed methods demonstrate robustness against common sources of error, such as photon loss.
  • The fundamental elements required are compatible with current experimental technologies.

Conclusions:

  • Scalable and reliable photonic quantum computation is feasible without non-linear optical elements.
  • Feedback-controlled linear optics provides a practical pathway for building quantum computers.
  • This approach advances the experimental realization of quantum computing with current technology.