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

TL;DR
The paper proposes a fault-tolerant quantum computing architecture using parity-unfolded distillation, enabling efficient small-angle rotation gates with reduced resource overheads and error rates on noise-biased platforms.
Contribution
It introduces a novel parity-unfolded distillation scheme for small-angle rotations, improving resource efficiency and error suppression in fault-tolerant quantum computing.
Findings
Fault-tolerant preparation of $|Z_k angle$ states with reduced qubit resources.
Resource overheads for $Z^{1/2^{k}}$ gates are decreased up to $k=7$.
Logical error rate is reduced by 43% with 26% fewer resources compared to previous methods.
Abstract
We introduce the parity-unfolded architecture, a fault-tolerant quantum computing scheme that relies on direct preparation and teleportation of small-angle rotations rather than approximating them with the conventional (Clifford + ) 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 can be prepared fault-tolerantly using biased-noise qubits on a planar chip with nearest-neighbour connectivity. For algorithms requiring native gates, such as the Quantum Fourier Transform and phase estimation, the proposed scheme allows to reduce resource overheads for up to , i.e., up to . Furthermore, when used for the synthesis of arbitrary small-angle rotations,…
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