Abstract

As quantum computation grows, the number of qubits involved in a given quantum computer increases. But due to the physical limitations in the number of qubits of a single quantum device, the computation should be performed in a distributed system. In this paper, a new model of quantum computation based on the matrix representation of quantum circuits is proposed. Then, using this model, we propose a novel approach for reducing the number of teleportations in a distributed quantum circuit. The proposed method consists of two phases: the pre-processing phase and the optimization phase. In the pre-processing phase, it considers the bi-partitioning of quantum circuits by Non-Dominated Sorting Genetic Algorithm (NSGA-III) to minimize the number of global gates and to distribute the quantum circuit into two balanced parts with equal number of qubits and minimum number of global gates. In the optimization phase, two heuristics named Heuristic I and Heuristic II are proposed to optimize the number of teleportations according to the partitioning obtained from the pre-processing phase. Finally, the proposed approach is evaluated on many benchmark quantum circuits. The results of these evaluations show an average of 22.16% improvement in the teleportation cost of the proposed approach compared to the existing works in the literature.

Highlights

  • Nowadays, quantum computation has become one of the interesting fields of computation and outperforms classical computation in certain algorithms [1,2,3,4]

  • In the pre-processing phase, the quantum circuit was distributed into two partitions so that the resulting distributed quantum circuit had the minimum number of global gates compared to other distributions

  • As stated, using the connectivity matrix created in the pre-processing phase the quantum circuit is distributed into two balanced partitions

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Summary

Introduction

Quantum computation has become one of the interesting fields of computation and outperforms classical computation in certain algorithms [1,2,3,4]. Nowadays, superconducting qubit modality has been used to demonstrate prototype algorithms in the noisy quantum channel to have non-error-corrected qubit in quantum algorithm and are currently one of the approaches for realizing quantum devices and quantum coherence interaction with low noise and high controllability to implement medium and large quantum systems [12, 13]. Another technology to have a large-scale quantum system is photonic quantum computing.

Related work
Matrix model of quantum computation
Distributed quantum circuit optimization
Pre‐processing phase
Optimization phase
Heuristic II
Results and discussion
Conclusion
Full Text
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