Parity-unfolded distillation architecture for noise-biased platforms
arXiv QuantumArchived Apr 20, 2026✓ Full text saved
arXiv:2604.15436v1 Announce Type: new Abstract: We introduce the parity-unfolded architecture, a fault-tolerant quantum computing scheme that relies on direct preparation and teleportation of small-angle rotations $ Z^{1/2^{k}}$ rather than approximating them with the conventional (Clifford + $T$) gate set. The architecture is enabled by efficient distillation of gates from an arbitrary level of the Clifford hierarchy, which we refer to as parity unfolding. With it, a state $|Z_k\rangle = Z^{1/2
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Quantum Physics
[Submitted on 16 Apr 2026]
Parity-unfolded distillation architecture for noise-biased platforms
Konstantin Tiurev, Christoph Fleckenstein, Christophe Goeller, Paul Schnabl, Matthias Traube, Nitica Sakharwade, Anette Messinger, Josua Unger, Wolfgang Lechner
We introduce the parity-unfolded architecture, a fault-tolerant quantum computing scheme that relies on direct preparation and teleportation of small-angle rotations Z^{1/2^{k}} rather than approximating them with the conventional (Clifford + T) gate set. The architecture is enabled by efficient distillation of gates from an arbitrary level of the Clifford hierarchy, which we refer to as parity unfolding. With it, a state |Z_k\rangle = Z^{1/2^{k}}|{+}\rangle can be prepared fault-tolerantly using 2^{k+3} + O(2^{k/2}) biased-noise qubits on a planar chip with nearest-neighbour connectivity. For algorithms requiring native Z^{1/2^{k}} gates, such as the Quantum Fourier Transform and phase estimation, the proposed scheme allows to reduce resource overheads for up to k=7, i.e., up to T^{1/32}. Furthermore, when used for the synthesis of arbitrary small-angle rotations, parity-unfolded distillation of (T + \sqrt{T}) reduces the minimum achievable logical error rate by 43% while cutting the resource requirements by 26%, when compared to unfolded distillation of only the T gate.
Subjects: Quantum Physics (quant-ph)
Cite as: arXiv:2604.15436 [quant-ph]
(or arXiv:2604.15436v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2604.15436
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From: Konstantin Tiurev [view email]
[v1] Thu, 16 Apr 2026 18:00:32 UTC (1,932 KB)
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