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An Efficient Method for Quantum Circuit Placement Problem on a 2-D Grid

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11497))

Abstract

This work-in-progress report proposes an efficient method to solve “quantum circuit placement problems” which are considered explicitly or implicitly when we convert an arbitrary quantum circuit into a nearest neighbor (NN) compliant circuit. A quantum circuit placement problem is to find as few SWAP gates as possible to convert a given initial qubit placement into a desired qubit placement. In the existing methods, the problem is solved by an ILP formulation or an A* search algorithm; the existing approaches may not be scalable for large quantum circuits. Thus, we are considering a more efficient method to solve the problem; our method tries to apply only SWAP gates such that do not have any bad effect on the desired movement of all the qubits. We also report a preliminary experimental result to show how our method improve the A* search algorithm which is used to generate NN compliant circuits.

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References

  1. Bhattacharjee, D., Chattopadhyay, A.: Depth-optimal quantum circuit placement for arbitrary topologies. arXiv preprint  arXiv:1703.08540 (2017)

  2. Hattori, W., Yamashita, S.: Quantum circuit optimization by changing the gate order for 2D nearest neighbor architectures. Proc. Revers. Comput. 2018, 228–243 (2018)

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  3. Zulehner, A., Wille, R.: Compiling SU(4) quantum circuits to IBM QX architectures. Proc. ASPDAC 2019, 185–190 (2019)

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  4. Shafaei, A., Saeedi, M., Pedram, M.: Qubit placement to minimize communication overhead in 2D quantum architectures. Proc. ASPDAC 2014, 495–500 (2014)

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Acknowledgments

This work was supported by JSPS KAKENHI Grant Number 15H01677 and 18K19790, and by the Asahi Glass Foundation.

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Correspondence to Shigeru Yamashita .

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Matsuo, A., Yamashita, S. (2019). An Efficient Method for Quantum Circuit Placement Problem on a 2-D Grid. In: Thomsen, M., Soeken, M. (eds) Reversible Computation. RC 2019. Lecture Notes in Computer Science(), vol 11497. Springer, Cham. https://doi.org/10.1007/978-3-030-21500-2_10

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  • DOI: https://doi.org/10.1007/978-3-030-21500-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21499-9

  • Online ISBN: 978-3-030-21500-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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