TY - GEN
T1 - Distributed Quantum Error Correction
T2 - 24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and WirelessNetworks, WiOpt 2026
AU - Babaie, Shahram
AU - Grzenda, Sean
AU - Qiao, Chunming
N1 - Publisher Copyright:
© 2026 IFIP.
PY - 2026
Y1 - 2026
N2 - The transition from monolithic quantum computing architectures to distributed quantum computing (DQC) is inevitable due to the limited number of qubits available in a single quantum processing unit (QPU) and the growing demand for utility-scale, fault-tolerant quantum systems. As a part of this transition, distributed quantum error correction (DQEC) emerges as a foundational component for addressing the error-prone nature of qubit storage and gate operations across multiple QPUs. In this paper, we provide a comprehensive review of recent advancements in the DQEC code families, including both topological and hypergraph product codes. We highlight how DQEC frameworks can enhance effective computational capacity and enable the realization of complex and scalable quantum codes on distributed quantum platforms. We also discuss the advantages and constraints associated with various stages of DQEC, including code design, encoding, syndrome extraction, and decoding. Furthermore, we outline key technical challenges and explore promising directions for future research to emphasize the pivotal role of DQC in advancing DQEC codes and shaping the development of future-generation quantum error correction codes.
AB - The transition from monolithic quantum computing architectures to distributed quantum computing (DQC) is inevitable due to the limited number of qubits available in a single quantum processing unit (QPU) and the growing demand for utility-scale, fault-tolerant quantum systems. As a part of this transition, distributed quantum error correction (DQEC) emerges as a foundational component for addressing the error-prone nature of qubit storage and gate operations across multiple QPUs. In this paper, we provide a comprehensive review of recent advancements in the DQEC code families, including both topological and hypergraph product codes. We highlight how DQEC frameworks can enhance effective computational capacity and enable the realization of complex and scalable quantum codes on distributed quantum platforms. We also discuss the advantages and constraints associated with various stages of DQEC, including code design, encoding, syndrome extraction, and decoding. Furthermore, we outline key technical challenges and explore promising directions for future research to emphasize the pivotal role of DQC in advancing DQEC codes and shaping the development of future-generation quantum error correction codes.
KW - Distributed quantum computing
KW - Hypergraph product code
KW - Monolithic quantum computing
KW - Quantum error correction
KW - topological codes
UR - https://www.scopus.com/pages/publications/105043591825
U2 - 10.23919/WiOpt71098.2026.11568217
DO - 10.23919/WiOpt71098.2026.11568217
M3 - Conference contribution
AN - SCOPUS:105043591825
T3 - Proceedings of the International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt
BT - 2026 24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and WirelessNetworks, WiOpt 2026
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 3 June 2026 through 6 June 2026
ER -