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20242026
most citedQuantum Concolic Testing

1 citations · 1 across the 8 of their papers we have counts for

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cs.SC2026

StabQ: Quantum Program Analysis via Weighted Stabilizer Representations

Shangzhou Xia, Junjie Luo, Jianjun Zhao

Quantum program analysis remains challenging due to the exponentially large state space of quantum programs and the difficulty of precisely characterizing their execution behavior.…

cs.SE2026

QuanForge: A Mutation Testing Framework for Quantum Neural Networks

Minqi Shao, Shangzhou Xia, Jianjun Zhao

With the growing synergy between deep learning and quantum computing, Quantum Neural Networks (QNNs) have emerged as a promising paradigm by leveraging quantum parallelism and enta…

quant-ph2026

QSolver: A Quantum Constraint Solver

Shangzhou Xia, Haitao Fu, Jianjun Zhao

With the growing interest in quantum programs, ensuring their correctness is a fundamental challenge. Although constraint-solving techniques can overcome some limitations of tradit…

cs.SE2026

QEMI: A Quantum Software Stacks Testing Framework via Equivalence Modulo Inputs

Junjie Luo, Shangzhou Xia, Fuyuan Zhang +1

As quantum algorithms and hardware continue to evolve, ensuring the correctness of the quantum software stack (QSS) has become increasingly important. However, testing QSSes remain…

quant-ph2026

QSPE: Enumerating Skeletal Quantum Programs for Quantum Library Testing

Jiaming Ye, Fuyuan Zhang, Shangzhou Xia +4

The rapid advancement of quantum computing has led to the development of various quantum libraries, empowering compilation, simulation, and hardware backend interfaces. However, en…