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cs.DC2024

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…

cs.DC2024

Hardware-aware Circuit Cutting and Distributed Qubit Mapping for Connected Quantum Systems

Zefan Du, Yanni Li, Zijian Mo +4

Quantum computing offers unparalleled computational capabilities but faces significant challenges, including limited qubit counts, diverse hardware topologies, and dynamic noise/er…

quant-ph2024

Scalable Circuit Cutting and Scheduling in a Resource-constrained and Distributed Quantum System

Shuwen Kan, Zefan Du, Miguel Palma +6

Despite quantum computing's rapid development, current systems remain limited in practical applications due to their limited qubit count and quality. Various technologies, such as…

quant-ph2024

Benchmarking Optimizers for Qumode State Preparation with Variational Quantum Algorithms

Shuwen Kan, Miguel Palma, Zefan Du +5

Quantum state preparation involves preparing a target state from an initial system, a process integral to applications such as quantum machine learning and solving systems of linea…

cs.DC2024

Resource-Efficient and Self-Adaptive Quantum Search in a Quantum-Classical Hybrid System

Zihao Jiang, Zefan Du, Shaolun Ruan +5

Over the past decade, the rapid advancement of deep learning and big data applications has been driven by vast datasets and high-performance computing systems. However, as we appro…