English

Magic tricycles: Efficient magic state generation with finite block-length quantum LDPC codes

Quantum Physics 2026-04-17 v2

Abstract

The preparation of high-fidelity non-Clifford (magic) states is an essential subroutine for universal quantum computation, but imposes substantial space-time overhead. Magic state factories based on high rate and distance quantum low-density parity check (LDPC) codes equipped with transversal non-Clifford gates can potentially reduce these overheads significantly, by circumventing the need for multiple rounds of distillation and by producing a large number of magic states in a single code-block. As a step towards realizing efficient, fault-tolerant magic state production, we introduce a class of finite block-length quantum LDPC codes which we name tricycle codes, generalizing the well-known bicycle codes to three homological dimensions. These codes can support constant-depth physical circuits that implement logical CCZCCZ gates between three code blocks. To construct these constant-depth CCZCCZ circuits, we develop new analytical and numerical techniques that apply to a broad class of three-dimensional homological and balanced product codes. We further show that tricycle codes enable single-shot state-preparation and error correction, leading to a highly efficient magic-state generation protocol. Numerical simulations of specific codes confirm robust performance under circuit-level noise, demonstrating a high circuit-noise threshold of >0.5%>0.5\%. With modest post-selection, certain tricycle codes of block-lengths of only 5010050-100 qubits are shown to achieve logical error-rates of 6×10106\times 10^{-10} or lower. Finally, we construct optimal depth syndrome extraction circuits for tricycle codes and present a protocol for implementing them efficiently on a reconfigurable neutral atom platform.

Keywords

Cite

@article{arxiv.2508.10714,
  title  = {Magic tricycles: Efficient magic state generation with finite block-length quantum LDPC codes},
  author = {Varun Menon and J. Pablo Bonilla-Ataides and Rohan Mehta and Andi Gu and Daniel Bochen Tan and Mikhail D. Lukin},
  journal= {arXiv preprint arXiv:2508.10714},
  year   = {2026}
}

Comments

Main text + Appendix + Supplementary Material. Ancillary files: 1 movie and associated caption

R2 v1 2026-07-01T04:50:04.838Z