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Classical Design Techniques for Fault-Tolerant Quantum Circuits

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Abstract

Large-scale quantum computing requires fault-tolerant algorithms to counter hardware noise that would otherwise corrupt information. While the overhead of fault-tolerant quantum computation exceeds current hardware capabilities, optimizing these protocols is crucial for practical implementation.

Clifford circuits are fundamental to these protocols, as many universal fault-tolerant quantum computing schemes, such as magic state distillation, utilize the Clifford gate set. Currently, Clifford circuits for fault-tolerant protocols are typically manually designed for specific error correction codes.

Inspired by the well-established field of digital circuit design, this work approaches Clifford circuit synthesis using satisfiability-solving techniques. We show the NP-completeness of depth-optimal Clifford synthesis and illustrate how satisfiability solving can synthesize fault-tolerant state-preparation circuits for Calderbank-Shor-Steane codes. This entails both heralded repeat-until-success and deterministic state preparation protocols.

The resulting Clifford circuit designs surpass existing constructions and enable state preparation circuits for previously under-explored quantum codes, demonstrating how classical circuit design techniques can advance fault-tolerant quantum computing.

Publication: [1] T. Peham, N. Brandl, R. Kueng, R. Wille, and L. Burgholzer, in 2023 IEEE International Conference on Quantum<br>Computing and Engineering (QCE), Vol. 01 (2023) pp. 802–813.<br>[2] T. Peham, L. Schmid, L. Berent, M. Müller, and R. Wille, "Automated Synthesis of Fault-Tolerant State Preparation<br>Circuits for Quantum Error Correction Codes," (2024), arXiv:2408.11894 [quant-ph].<br>[3] L. Schmid, T. Peham, L. Berent, M. Müller, and R. Wille (2024)

Presenters

  • Ludwig Schmid

    Technical University of Munich

Authors

  • Ludwig Schmid

    Technical University of Munich

  • Tom Peham

    Technical University of Munich

  • Nina Brandl

    Johannes Kepler University of Linz

  • Lucas Berent

    Technical University of Munich

  • Lukas Burgholzer

    Technical University of Munich

  • Richard Kueng

    Johannes Kepler University of Linz

  • Markus Müller

    Forschungszentrum Jülich GmbH, Forschungszentrum Jülich GmbH, RWTH Aachen

  • Robert Wille

    Technical University of Munich