Muhammad Kashif

LLM-generated quantum tests are executable but fail to reliably distinguish correct from faulty code, with the best models achieving only 71% and 34% test quality on separate benchmarks.

General-purpose LLMs can't hack it in quantum coding, but a RAG system armed with a code-aware embedding strategy can boost performance by 28% on real-world quantum programming challenges.

Turns out, simpler quantum circuits with the right data encoding can outperform complex ones in diagnosing Chronic Kidney Disease.