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cs.SE2023
An Empirical Study of Bugs in Quantum Machine Learning Frameworks
Pengzhan Zhao, Xiongfei Wu, Junjie Luo +2
Quantum computing has emerged as a promising domain for the machine learning (ML) area, offering significant computational advantages over classical counterparts. With the growing…
quant-ph2023★ 1 cited
Formalization of Quantum Intermediate Representations for Code Safety
Junjie Luo, Jianjun Zhao
Quantum Intermediate Representation (QIR) is a Microsoft-developed, LLVM-based intermediate representation for quantum program compilers. QIR aims to provide a general solution for…