Optimized Compilation of Logical Clifford Circuits

Popov A, Meyer N, Scherer DD, Dietl G (2026)

Publication Type: Conference contribution

Publication year: 2026

Publisher: Institute of Electrical and Electronics Engineers Inc.

Conference Proceedings Title: 2026 International Conference on Quantum Control, Computing and Learning, qCCL 2026

Event location: Aalborg, DNK

ISBN: 9798319518651

DOI: 10.1109/qCCL70331.2026.11668561

Abstract

Fault-tolerant quantum computing hinges on efficient logical compilation, in particular, translating high-level circuits into code-compatible implementations. Gate-by-gate compilation often yields deep circuits, requiring significant overhead to ensure fault-tolerance. As an alternative, we investigate the compilation of primitives from quantum simulation as single blocks. We focus our study on the [[n,n-2,2]] code family, which allows for the exhaustive comparison of potential compilation primitives on small circuit instances. Based upon that, we then introduce a methodology that lifts these primitives into size-invariant, depth-efficient compilation strategies. This recovers known methods for circuits with moderate Hadamard counts and yields improved realizations for sparse and dense placements. Simulations show significant error-rate reductions in the compiled circuits. We envision the approach as a core component of peephole-based compilers. Its flexibility and low hand-crafting burden potentially enable extension to other circuit structures and code families.

Involved external institutions

Fraunhofer-Institut für Integrierte Schaltungen (IIS) DE Germany (DE) Julius-Maximilians-Universität Würzburg DE Germany (DE)

How to cite

APA:

Popov, A., Meyer, N., Scherer, D.D., & Dietl, G. (2026). Optimized Compilation of Logical Clifford Circuits. In 2026 International Conference on Quantum Control, Computing and Learning, qCCL 2026. Aalborg, DNK: Institute of Electrical and Electronics Engineers Inc..

MLA:

Popov, Alexander, et al. "Optimized Compilation of Logical Clifford Circuits." Proceedings of the 2026 International Conference on Quantum Control, Computing and Learning, qCCL 2026, Aalborg, DNK Institute of Electrical and Electronics Engineers Inc., 2026.

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