Constant depth fault-tolerant Clifford circuits for multi-qubit large block codes

preprint2020arXivOpen access

Abstract

Fault-tolerant quantum computation (FTQC) schemes using large block codes that encode k>1k>1 qubits in nn physical qubits can potentially reduce the resource overhead to a great extent because of their high encoding rate. However, the fault-tolerant (FT) logical operations for the encoded qubits are difficult to find and implement, which usually takes not only a very large resource overhead but also long in-situ\textit{in-situ} computation time. In this paper, we focus on Calderbank-Shor-Steane [ ⁣[n,k,d] ⁣][\![ n,k,d ]\!] (CSS) codes and their logical FT Clifford circuits. We show that the depth of an arbitrary logical Clifford circuit can be implemented fault-tolerantly in O(1)O(1) steps \emph{in-situ} via either Knill or Steane syndrome measurement circuit, with the qualified ancilla states efficiently prepared. Particularly, for those codes satisfying k/n∼Θ(1)k/n\sim Θ(1), the resource scaling for Clifford circuits implementation on the logical level can be the same as on the physical level up to a constant, which is independent of code distance dd. With a suitable pipeline to produce ancilla states, our scheme requires only a modest resource cost in physical qubits, physical gates, and computation time for very large scale FTQC.

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