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This research establishes fundamental scaling limits for parallel non-Clifford gates within quantum low-density parity-check (qLDPC) codes, revealing a trade-off between code distance and constant-depth realization. The study demonstrates that strict saturated implementations cannot maintain constant depth as system size increases due to inherent distance-depth bounds, necessitating relaxed subspace requirements or congestion management for viable architectures. These findings are critical for optimizing the space-time overhead of magic-state distillation in future fault-tolerant quantum processors.
Native Non-Clifford Gates in Quantum LDPC Codes: Conditions, Synthesis, and Scaling Limits
arXiv:2601.22489v2 Announce Type: replace Abstract: Native constant-depth non-Clifford gates on quantum low-density parity-check (qLDPC) codes can substantially reduce the space-time overhead of magic-state distillation. This paper investigates the underlying parity and structural conditions governing parallel non-Clifford gate implementations. By analyzing their invariance, algebraic forms, and circuit synthesis, we establish fundamental limits on code scaling: strict saturated implementations cannot achieve constant-depth realization as code distance grows due to tight distance-depth bounds. We evaluate alternative scaling routes, showing that scalable designs must either relax strict subspace requirements or manage gate congestion. Through analytical bounds and code searches, we demonstrate that reconciling parallel non-Clifford operations with linear distance requires navigating these fundamental structural trade-offs.
Abstract:Native constant-depth non-Clifford gates on quantum low-density parity-check (qLDPC) codes can substantially reduce the space-time overhead of magic-state distillation. This paper investigates the underlying parity and structural conditions governing parallel non-Clifford gate implementations. By analyzing their invariance, algebraic forms, and circuit synthesis, we establish fundamental limits on code scaling: strict saturated implementations cannot achieve constant-depth realization as code distance grows due to tight distance-depth bounds. We evaluate alternative scaling routes, showing that scalable designs must either relax strict subspace requirements or manage gate congestion. Through analytical bounds and code searches, we demonstrate that reconciling parallel non-Clifford operations with linear distance requires navigating these fundamental structural trade-offs.
Quantum Physics (quant-ph); Information Theory (cs.IT)
arXiv:2601.22489 [quant-ph]
(or arXiv:2601.22489v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2601.22489 Focus to learn more arXiv-issued DOI via DataCite
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