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This study establishes a rigorous baseline for quantum software by comparing the performance, expressiveness, and safety of ten programming languages through standardized benchmarks like Shor's algorithm. By moving from theoretical surveys to concrete implementations with automated testing harnesses, it provides developers with actionable data on language maturity and optimization needs.
Palsberg and Colleagues Presents Language Classification Framework for Quantum Programming

Fifty benchmark programs now have concrete implementations across ten quantum programming languages, a level of detail previously absent from field surveys. This work moves beyond theoretical language features by measuring program size, compilation time and correctness with an automated testing harness. Such comparative analysis guides future development and highlights areas for improvement in quantum language design.
Quan Do and colleagues at the University of California, Los Angeles have surveyed ten popular, executable quantum programming languages using a new classification framework encompassing programming model, expressiveness, and safety. The survey delivers implementations of fifty benchmark programs, including Shor’s algorithm for integer factoring and Hamiltonian simulations, and an automated testing harness to measure program performance and correctness. The University of California, Los Angeles team assessed ten languages using a new framework focused on how programs are built, their capabilities, and security features. They implemented fifty benchmark programs, including key algorithms like Shor’s…
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