Good quantum codes with addressable and parallelizable transversal non-Clifford gates
Virgile Guémard
TL;DR
The paper addresses fault-tolerant quantum computation with transversal non-Clifford gates by constructing asymptotically good qudit CSS codes derived from Stichtenoth algebraic-geometry codes. It develops a framework for addressable and parallelizable inter-block C^{m-1}Z gates, proving depth overhead scales as O(k^{m-1}) for m-block interdependencies and enabling parallel gate execution under symmetry constraints. The work combines function-field theory, AG-code constructions, and puncturing techniques to produce quantum codes with a defined m-multiplication property, extendable to qubit implementations, and provides circuit-level insights showing significant depth reductions for dense gate sets and potential optimizations for sparse-connectivity regimes. This advances practical fault-tolerance by offering scalable, structure-exploiting codes that support large sets of transversal non-Clifford operations with favorable depth characteristics.
Abstract
In this work, we prove that for any $m>1$, there exists a family of good qudit quantum codes supporting transversal logical $\mathsf{C}^{m-1}\mathsf{Z}$ gates that can address specified logical qudits and be largely executed in parallel. Building on the family of good quantum error-correcting codes presented in He et al. (2025), which support addressable and transversal logical $\mathsf{CCZ}$ gates, we extend their framework and show how to perform large sets of gates in parallel. The construction relies on the classical algebraic geometry codes of Stichtenoth (IEEE Trans. Inf. Theory, 2006). Our results lead to a substantial reduction in the depth overhead of multi-control-$Z$ circuits. In particular, we show that the minimal depth of any logical $\mathsf{C}^{m-1}\mathsf{Z}$ circuit involving qudits from $m$ distinct code blocks is upper bounded by $O(k^{m-1})$, where $k$ is the code dimension. While this overhead is optimal for dense $\mathsf{C}^{m-1}\mathsf{Z}$ circuits, for sparse circuits we discuss how the depth overhead can be significantly reduced by exploiting the structure of the quantum code.
