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Related Concept Videos

Downsampling01:20

Downsampling

524
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
524

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Resource Reduction for Distributed Quantum Information Processing Using Quantum Multiplexed Photons.

Nicolò Lo Piparo1, Michael Hanks1, Claude Gravel1

  • 1National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan.

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|June 13, 2020
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This summary is machine-generated.

Quantum multiplexing with loss-based quantum error correction (QEC) codes significantly reduces the number of photon sources needed for distributed quantum information processing. This approach maintains or lowers the required two-qubit gates, enhancing efficiency.

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Area of Science:

  • Quantum Information Science
  • Quantum Communication
  • Quantum Error Correction

Background:

  • Distributed quantum information processing relies on transmitting quantum data through lossy channels, where transmission losses are a primary error source.
  • Quantum error correction (QEC) is preferred over error detection for mitigating losses in quantum communication due to signaling constraints.
  • Existing QEC performance comparisons often assume a single qubit encoded per photon, overlooking photons' capacity for multiple qubits.

Purpose of the Study:

  • To investigate the viability and advantages of using quantum multiplexed photons in loss-based QEC codes.
  • To determine if multiplexing can offer benefits, particularly when photon loss results in the loss of multiple qubits.

Main Methods:

  • Exploration of loss-based QEC codes utilizing quantum multiplexed photons.
  • Analysis of resource requirements, specifically the number of single-photon sources and two-qubit gates.
  • Consideration of the types of optical gates required for implementation.

Main Results:

  • Quantum multiplexing enables significant reduction in the number of required single-photon sources.
  • The number of two-qubit gates needed is maintained or even lowered compared to non-multiplexed approaches.
  • The proposed multiplexing strategy utilizes only conventional optical gates already necessary for QEC code implementation.

Conclusions:

  • Quantum multiplexing presents a viable and advantageous strategy for loss-based QEC in distributed quantum information processing.
  • This approach offers improved resource efficiency by reducing the need for single-photon sources without compromising gate requirements.
  • The compatibility with existing optical gate technologies makes this method practical for near-term implementation.