activity
20232026
most citedTransformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers

5 citations · 13 across the 9 of their papers we have counts for

collaborators

9 papers

quant-ph2026

QALM: Escaping Local Minima via Interleaved Exploration and Exploitation in Quantum Circuit Optimization

Aidan Wagner, Mingkuan Xu, Pengyu Liu +2

Quantum circuit optimizers face a fundamental limitation in how they tolerate temporary cost increases. At one extreme, greedy rule-based optimizers immediately apply any cost-redu…

cs.AR2025

ConiQ: Enabling Concatenated Quantum Error Correction on Neutral Atom Arrays

Pengyu Liu, Mingkuan Xu, Hengyun Zhou +3

Recent progress on concatenated codes, especially many-hypercube codes, achieves unprecedented space efficiency. Yet two critical challenges persist in practice. First, these codes…

cs.DC2025

POPQC: Parallel Optimization for Quantum Circuits (Extended Version)

Pengyu Liu, Jatin Arora, Mingkuan Xu +1

Optimization of quantum programs or circuits is a fundamental problem in quantum computing and remains a major challenge. State-of-the-art quantum circuit optimizers rely on heuris…

cs.PL2025

Local Optimization of Quantum Circuits (Extended Version)

Jatin Arora, Mingkuan Xu, Sam Westrick +4

Recent advances in quantum architectures and computing have motivated the development of new optimizing compilers for quantum programs or circuits. Even though steady progress has…

quant-ph2023★ 5 cited

Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers

Hanrui Wang, Pengyu Liu, Kevin Shao +5

Quantum computing has the potential to solve problems that are intractable for classical systems, yet the high error rates in contemporary quantum devices often exceed tolerable li…

quant-ph2023★ 1 cited

RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training

Hanrui Wang, Yilian Liu, Pengyu Liu +10

Quantum state preparation, a crucial subroutine in quantum computing, involves generating a target quantum state from initialized qubits. Arbitrary state preparation algorithms can…

quant-ph2023★ 1 cited

DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting

Hanrui Wang, Pengyu Liu, Yilian Liu +4

Quantum hardware suffers from high error rates and noise, which makes directly running applications on them ineffective. Quantum Error Correction (QEC) is a critical technique towa…

quant-ph2023★ 2 cited

Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas

Hanrui Wang, Daniel Bochen Tan, Pengyu Liu +4

Neutral atom arrays have become a promising platform for quantum computing, especially the field programmable qubit array (FPQA) endowed with the unique capability of atom movement…

quant-ph2023★ 4 cited

Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays

Hanrui Wang, Pengyu Liu, Daniel Bochen Tan +6

The neutral atom array has gained prominence in quantum computing for its scalability and operation fidelity. Previous works focus on fixed atom arrays (FAAs) that require extensiv…