5 papers
DC-MBQC: A Distributed Compilation Framework for Measurement-Based Quantum Computing
Yecheng Xue, Rui Yang, Zhiding Liang +1
Distributed quantum computing (DQC) is a promising technique for scaling up quantum systems. While significant progress has been made in DQC for quantum circuit models, there exist…
A Compilation Framework for Quantum Circuits with Mid-Circuit Measurement Error Awareness
Ming Zhong, Zhemin Zhang, Xiangyu Ren +3
Mid-circuit measurement (MCM) provides the capability for qubit reuse and dynamic control in quantum processors, enabling more resource-efficient algorithms and supporting error-co…
Hardware-aware Compilation for Chip-to-Chip Coupler-Connected Modular Quantum Systems
Zefan Du, Shuwen Kan, Samuel Stein +3
As quantum processors scale, monolithic architectures face growing challenges due to limited qubit density, heterogeneous error profiles, and restricted connectivity. Modular quant…
A Scalable and Robust Compilation Framework for Emitter-Photonic Graph State
Xiangyu Ren, Yuexun Huang, Zhiding Liang +1
Quantum graph states are critical resources for various quantum algorithms, and also determine essential interconnections in distributed quantum computing. There are two schemes fo…
Efficient Circuit Cutting and Scheduling in a Multi-Node Quantum System with Dynamic EPR Pairs
Zefan Du, Wenrui Zhang, Wenqi Wei +4
Despite advancements, current quantum hardware faces significant challenges, including limited qubit counts and high susceptibility to noise, which hinder the execution of large, c…