10 papers
FTPrimitiveBench: A Benchmark Suite For Logical Computation Under Hardware-Motivated and Biased Noise Models
Shuwen Kan, Adrian Harkness, Zefan Du +5
Fault-tolerant quantum computing requires understanding how error-correcting codes perform on diverse physical hardware. This is typically assessed via noisy stabilizer simulation…
Calibration-Conditioned FiLM Decoders for Low-Latency Decoding of Quantum Error Correction Evaluated on IBM Repetition-Code Experiments
Samuel Stein, Shuwen Kan, Chenxu Liu +6
Real-time decoding of quantum error correction (QEC) is essential for enabling fault-tolerant quantum computation. A practical decoder must operate with high accuracy at low latenc…
Optimizing Inter-chip Coupler Link Placement for Modular and Chiplet Quantum Systems
Zefan Du, Pedro Chumpitaz Flores, Wenqi Wei +3
Quantum computing offers unparalleled computational capabilities but faces significant challenges, including limited qubit counts, diverse hardware topologies, and dynamic noise an…
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…
SPARO: Surface-code Pauli-based Architectural Resource Optimization for Fault-tolerant Quantum Computing
Shuwen Kan, Zefan Du, Chenxu Liu +5
Surface codes represent a leading approach for quantum error correction (QEC), offering a path towards universal fault-tolerant quantum computing (FTQC). However, efficiently imple…
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…
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…
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…
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…
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…