activity
20242026
collaborators

8 papers

quant-ph2026

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…

quant-ph2026

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…

quant-ph2025

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)…

quant-ph2025

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…

quant-ph2025

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…

quant-ph2025

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…