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A hierarchical approach for building distributed quantum systems.

Zohreh Davarzani1,2, Mariam Zomorodi3,4, Mahboobeh Houshmand5

  • 1Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.

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This study introduces a hierarchical architecture for distributed quantum computing, optimizing qubit distribution to minimize communication. The novel method reduces teleportations and non-local gates, enhancing efficiency in quantum information transfer.

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Area of Science:

  • Quantum Computing
  • Quantum Information Science

Background:

  • Distributed quantum computing (DQC) involves subsystems communicating via quantum teleportation.
  • Minimizing communication is crucial due to resource requirements for quantum teleportation.

Purpose of the Study:

  • To propose a multi-layer hierarchical architecture for efficient distributed quantum computation.
  • To minimize communication overhead, specifically quantum teleportations and non-local gates.

Main Methods:

  • A two-level hierarchical optimization approach is presented.
  • Level I utilizes integer linear programming to partition quantum systems and minimize non-local gates.
  • Level II employs a data structure and recursive function to reduce teleportations.

Main Results:

  • The proposed method effectively distributes qubits across partitions.
  • Significant reduction in the number of non-local gates and teleportations was achieved.
  • Experimental results demonstrate superior performance compared to existing methods.

Conclusions:

  • The hierarchical architecture offers an efficient strategy for distributed quantum computing.
  • The optimization method successfully minimizes essential communication resources.
  • This approach advances the practical implementation of DQC systems.