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20242026
most citedOptimizing Quantum Communication for Quantum Data Centers with Reconfigurable Networks

1 citations · 2 across the 19 of their papers we have counts for

collaborators

19 papers

quant-ph2026

LightStim: A Framework for QEC Protocol Evaluation and Prototyping with Automated DEM Construction

Xiang Fang, Ming Wang, Yue Wu +6

Fault-tolerant quantum computing increasingly demands rigorous, circuit-level evaluation of diverse quantum error correction (QEC) protocols and efficient prototyping of new ones.…

quant-ph2026

QASMTrans: An End-to-End QASM Compilation Framework with Pulse Generation for Near-Term Quantum Devices

Aaron Hoyt, Meng Wang, Fei Hua +8

QASMTrans is a lightweight, high-performance, C++-based quantum compiler that bridges abstract quantum algorithms to device-level control and is designed for just-in-time (JIT) dep…

quant-ph2026

Computer Science Challenges in Quantum Computing: Early Fault-Tolerance and Beyond

Jens Palsberg, Jason Cong, Yufei Ding +7

Quantum computing is entering a period in which progress will be shaped as much by advances in computer science as by improvements in hardware. The central thesis of this report is…

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

Bridging Superconducting and Neutral-Atom Platforms for Efficient Fault-Tolerant Quantum Architectures

Xiang Fang, Jixuan Ruan, Sharanya Prabhu +4

The transition to the fault-tolerant era exposes the limitations of homogeneous quantum systems, where no single qubit modality simultaneously offers optimal operation speed, conne…

quant-ph2025

Tableau-Based Framework for Efficient Logical Quantum Compilation

Meng Wang, Chenxu Liu, Sean Garner +4

Quantum computing holds the promise of solving problems intractable for classical computers, but practical large-scale quantum computation requires error correction to protect agai…

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

TrapSIMD: SIMD-Aware Compiler Optimization for 2D Trapped-Ion Quantum Machines

Jixuan Ruan, Hezi Zhang, Xiang Fang +8

Modular trapped-ion (TI) architectures offer a scalable quantum computing (QC) platform, with native transport behaviors that closely resemble the Single Instruction Multiple Data…

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…

quant-ph2025

OneAdapt: Adaptive Compilation for Resource-Constrained Photonic One-Way Quantum Computing

Hezi Zhang, Jixuan Ruan, Dean Tullsen +3

Measurement-based quantum computing (MBQC), a.k.a. one-way quantum computing (1WQC), is a universal quantum computing model, which is particularly well-suited for photonic platform…

quant-ph2025

iSwitch: QEC on Demand via In-Situ Encoding of Bare Qubits for Ion Trap Architectures

Keyi Yin, Xiang Fang, Zhuo Chen +9

Recent advances in quantum hardware and error correction have paved the way for early fault-tolerant (EFT) quantum computing. We propose iSwitch, a hybrid system architecture for t…

quant-ph2025

STQS: A Unified System Architecture for Spatial Temporal Quantum Sensing

Anastashia Jebraeilli, Chenxu Liu, Keyi Yin +3

Quantum sensing (QS) harnesses quantum phenomena to measure physical observables with extraordinary precision, sensitivity, and resolution. Despite significant advancements in quan…

quant-ph2024★ 1 cited

Optimizing Quantum Communication for Quantum Data Centers with Reconfigurable Networks

Hezi Zhang, Yiran Xu, Haotian Hu +6

Distributed Quantum Computing (DQC) enables scalability by interconnecting multiple QPUs. Among various DQC implementations, quantum data centers (QDCs), which utilize reconfigurab…

quant-ph2024

SymBreak: Mitigating Quantum Degeneracy Issues in QLDPC Code Decoders by Breaking Symmetry

Keyi Yin, Xiang Fang, Jixuan Ruan +7

Quantum error correction (QEC) is critical for scalable and reliable quantum computing, but existing solutions, such as surface codes, incur significant qubit overhead. Quantum low…

quant-ph2024

CaliScalpel: In-Situ and Fine-Grained Qubit Calibration Integrated with Surface Code Quantum Error Correction

Xiang Fang, Keyi Yin, Yuchen Zhu +8

Quantum Error Correction (QEC) is a cornerstone of fault-tolerant, large-scale quantum computing. However, qubit error drift significantly degrades QEC performance over time, neces…

quant-ph2024

Transpiler-Architecture Co-Design to Curb Clifford Costs in Fault-Tolerant Quantum Computing

Meng Wang, Chenxu Liu, Samuel Stein +4

Quantum Error Correction (QEC) codes form the foundation of Fault-Tolerant Quantum Computing (FTQC) and predominantly use the Clifford+T gate set. Recently, Clifford operations hav…

quant-ph2024

Leveraging Hardware Power through Optimal Pulse Profiling for Each Qubit Pair

Yuchen Zhu, Jinglei Cheng, Boxi Li +3

In the scaling development of quantum computers, the calibration process emerges as a critical challenge. Existing calibration methods, utilizing the same pulse waveform for two-qu…

quant-ph2024

PowerMove: Optimizing Compilation for Neutral Atom Quantum Computers with Zoned Architecture

Jixuan Ruan, Xiang Fang, Hezi Zhang +3

Neutral atom-based quantum computers (NAQCs) have recently emerged as promising candidates for scalable quantum computing, largely due to their advanced hardware capabilities, part…

quant-ph2024★ 1 cited

Surf-Deformer: Mitigating Dynamic Defects on Surface Code via Adaptive Deformation

Keyi Yin, Xiang Fang, Yunong Shi +3

In this paper, we introduce Surf-Deformer, a code deformation framework that seamlessly integrates adaptive defect mitigation functionality into the current surface code workflow.…