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20232026
most citedSymbolic Execution for Quantum Error Correction Programs

16 citations · 45 across the 6 of their papers we have counts for

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quant-ph2026

ConQEC: Concolic Testing for Quantum Error-Correcting Code Implementations

Zihao Li, Ji Guan, Mingsheng Ying

Quantum error-correcting code (QECC) implementations are hybrid software-control systems: measured syndromes drive decoder dispatch, recovery actions, and logical checks. Existing…

quant-ph2025

Approximation Methods for Simulation and Equivalence Checking of Noisy Quantum Circuits

Mingyu Huang, Ji Guan, Wang Fang +1

In the current NISQ (Noisy Intermediate-Scale Quantum) era, simulating and verifying noisy quantum circuits is crucial but faces challenges such as quantum state explosion and comp…

quant-ph2024

VeriQR: A Robustness Verification Tool for Quantum Machine Learning Models

Yanling Lin, Ji Guan, Wang Fang +2

Adversarial noise attacks present a significant threat to quantum machine learning (QML) models, similar to their classical counterparts. This is especially true in the current Noi…

quant-ph2023

SymPhase: Phase Symbolization for Fast Simulation of Stabilizer Circuits

Wang Fang, Mingsheng Ying

This paper proposes an efficient stabilizer circuit simulation algorithm that only traverses the circuit forward once. We introduce phase symbolization into stabilizer generators,…

quant-ph2023★ 16 cited

Symbolic Execution for Quantum Error Correction Programs

Wang Fang, Mingsheng Ying

We define QSE, a symbolic execution framework for quantum programs by integrating symbolic variables into quantum states and the outcomes of quantum measurements. The soundness of…

quant-ph2023★ 14 cited

Detecting Violations of Differential Privacy for Quantum Algorithms

Ji Guan, Wang Fang, Mingyu Huang +1

Quantum algorithms for solving a wide range of practical problems have been proposed in the last ten years, such as data search and analysis, product recommendation, and credit sco…