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Robust Architecture for Programmable Universal Unitaries.

M Yu Saygin1, I V Kondratyev1, I V Dyakonov1

  • 1Quantum Technologies Center, Faculty of Physics, Lomonosov Moscow State University, Leninskie gory 1, building 35, Moscow 119991, Russia.

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This study introduces a new method for decomposing large unitary matrices using multichannel blocks, enhancing quantum information processing. The novel approach is robust against errors and offers flexible implementation for future technologies.

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Area of Science:

  • Quantum Information Science
  • Quantum Computing
  • Matrix Decomposition

Background:

  • Decomposition of large unitary matrices is crucial for classical and quantum information processing.
  • Current methods using two-channel blocks are sensitive to fabrication errors.

Purpose of the Study:

  • To develop a novel, error-resilient method for unitary matrix decomposition.
  • To enable robust large-scale implementations of quantum information processing schemes.

Main Methods:

  • Utilizing multichannel blocks for matrix decomposition.
  • Analyzing the universality and error resilience of the proposed scheme.

Main Results:

  • The novel scheme demonstrates universality even with random transfer matrices.
  • The method is virtually insensitive to fabrication errors.
  • Variable elements can be arbitrarily placed, allowing for flexible topologies.

Conclusions:

  • The multichannel block decomposition offers a robust alternative to existing methods.
  • This approach is beneficial for future large-scale unitary transformations in quantum technologies.
  • The method's flexibility supports novel or yet-to-be-developed implementation techniques.