3 papers
quant-ph2026
Toward Live Noise Fingerprinting in Quantum Software Engineering
Avner Bensoussan, Elena Chachkarova, Karine Even-Mendoza +3
Contemporary quantum computers are inherently noisy, posing significant challenges for the development and testing of quantum software. Simplified or outdated noise assumptions can…
cs.SE2025
ReFuzzer: Feedback-Driven Approach to Enhance Validity of LLM-Generated Test Programs
Iti Shree, Karine Even-Mendoza, Tomasz Radzik
Existing LLM-based compiler fuzzers often produce syntactically or semantically invalid test programs, limiting their effectiveness in exercising compiler optimizations and backend…
quant-ph2025
Accelerating Quantum Eigensolver Algorithms With Machine Learning
Avner Bensoussan, Elena Chachkarova, Karine Even-Mendoza +2
In this paper, we explore accelerating Hamiltonian ground state energy calculation on NISQ devices. We suggest using search-based methods together with machine learning to accelera…