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A Method Based on Timing Weight Priority and Distance Optimization for Quantum Circuit Transformation.

Yang Qian1, Zhijin Guan1, Shenggen Zheng2

  • 1School of Information Science and Technology, Nantong University, Nantong 226000, China.

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Summary
This summary is machine-generated.

We developed a new quantum circuit transformation method to reduce errors on noisy quantum computers. Our approach minimizes SWAP gates, improving circuit performance and accuracy for NISQ devices.

Keywords:
heuristic optimizationquantum circuit transformationqubit mappingsubgraph isomorphism

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Area of Science:

  • Quantum Computing
  • Quantum Information Science

Background:

  • Implementing quantum circuits on Noisy Intermediate-Scale Quantum (NISQ) devices requires transforming them to meet hardware connectivity constraints.
  • NISQ devices are prone to noise, making the minimization of SWAP gates critical for reducing computational errors.

Purpose of the Study:

  • To propose an optimized algorithm for transforming quantum circuits for NISQ devices.
  • To reduce the number of SWAP gates introduced during circuit transformation, thereby minimizing errors.

Main Methods:

  • A subgraph isomorphism algorithm prioritizing quantum gate timing weights for initial qubit mapping.
  • A heuristic swap sequence selection optimization algorithm using a distance optimization measurement function.

Main Results:

  • The proposed algorithm effectively optimizes circuit transformations for benchmark quantum circuits.
  • Achieved a maximum optimization rate of 43.51% and an average optimization rate of 13.51% in reducing SWAP gates.
  • Outperformed existing related methods in circuit optimization for NISQ architectures.

Conclusions:

  • The developed algorithm offers a significant improvement in quantum circuit transformation for NISQ devices.
  • This method enhances the reliability and accuracy of quantum computations on current quantum hardware.