14 papers
FTWeave: Composing Logical Execution, Real-Time Decoding, and Magic-State Supply in Tightly Integrated Quantum-Classical Systems
Panayiotis Christou, Shuwen Kan, Ying Mao
Fault-tolerant quantum applications depend on both decoded measurement information and a continuing supply of magic states. While an operation waits for either, its logical data re…
Decoder Model Compatibility Provides Information beyond the Logical Gap under Drifting and Correlated Quantum Noise
Aaron C. Hoyt, Chunshu Wu, Shuwen Kan +8
Quantum error-correcting decoders provide both corrections and confidence estimates for the logical-error risk of individual measurement records. Such confidence can guide postsele…
HybridQC: Hardware-Grounded Simulation of Tightly Integrated Hybrid Quantum-Classical Systems
Panayiotis Christou, Shuwen Kan, Ying Mao
Hybrid quantum-classical performance depends on how quantum processors share classical compute, controllers, memory, and communication links. Circuit simulators and provider measur…
TandemQEC: Joint Provisioning of Streaming Quantum Error Correction in Tightly-Integrated Quantum-Classical Systems
Panayiotis Christou, Shuwen Kan, Hao Wang +2
Fault-tolerant quantum applications require timely classical decoding and feedback. Component benchmarks leave open how contention across processors, links, and finite buffers affe…
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…
FTCircuitBench: A Benchmark Suite for Fault-Tolerant Quantum Compilation and Architecture
Adrian Harkness, Shuwen Kan, Chenxu Liu +10
Realizing large-scale quantum advantage is expected to require quantum error correction (QEC), making the compilation and optimization of logical operations a critical area of rese…
Hardware-aware and Resource-efficient Circuit Packing and Scheduling on Trapped-Ion Quantum Computers
Miguel Palma, Shuwen Kan, Wenqi Wei +4
The rapid expansion of quantum cloud services has led to long job queues due to single-tenant execution models that underutilize hardware resources. Quantum multi-programming (QMP)…
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…
Multi-Target Rydberg Gates via Spatial Blockade Engineering
Samuel Stein, Chenxu Liu, Shuwen Kan +5
Multi-target gates offer the potential to reduce gate depth in syndrome extraction for quantum error correction. Although neutral-atom quantum computers have demonstrated native mu…
Circuit Folding: Scalable and Graph-Based Circuit Cutting via Modular Structure Exploitation
Shuwen Kan, Yanni Li, Hao Wang +2
Circuit cutting is a promising technique that leverages both quantum and classical computational resources, enabling the practical execution of large quantum circuits on noisy inte…
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…