QGPU: Parallel logic in quantum LDPC codes

發布日期

April 7, 2026

研究中心

量子計算研究所

主題

Quantum Computing

日程

Abstract

Quantum error correction is critical to the design and manufacture of scalable quantum computing systems. Recently, there has been growing interest in quantum low-density parity-check codes as a resource-efficient alternative to surface codes. Their adoption is hindered by the difficulty of compiling fault-tolerant logical operations. A key challenge is that logical qubits do not necessarily map to disjoint sets of physical qubits, which limits parallelism. We introduce clustered-cyclic codes, a quantum low-density parity-check code family with finite-size instances such as [[136,8,14]] and [[198,18,10]] that are competitive with state-of-the-art constructions. These codes admit a directly addressable logical basis, enabling highly parallel logical measurement layers. To leverage this structure, we propose parallel product surgery for quantum product codes. Using an auxiliary copy of the data patch and an engineered product-connection structure, the protocol performs many logical Pauli-product measurements in a single surgery round with small, fixed overhead. For clustered-cyclic codes, this yields surface-code-style maximal parallelism: up to k/2 disjoint Pauli-product measurements per round under explicit algebraic conditions. We prove that parallel product surgery preserves the code distance for hypergraph product codes and numerically verify distance preservation for the listed clustered-cyclic instances with k = 8. Finally, for the [[24,8,3]] clustered-cyclic code, treating half of the logical qubits as auxiliaries enables arbitrary parallel CNOTs on disjoint pairs; combined with symmetry-derived operations, these gates generate the full Clifford group fault-tolerantly.

Personal information

Boren Gu is a PhD researcher in quantum error correction and fault-tolerant quantum computation supervised by Jens Eister at the Free University of Berlin. His research focuses on quantum LDPC codes, logical gate implementations, and architectures for scalable fault-tolerant quantum computing. He is particularly interested in the finite size quantum codes with good parameters and logical operations to enable efficient logical measurements and high-parallelism computation.

Reference

https://arxiv.org/abs/2603.05398