
Developed a cross-backend Quantum Benchmarks Framework for the iqm-finland/iqm-benchmarks repository, enabling evaluation of quantum algorithms such as Phase Estimation, Quantum Fourier Transform, and Shor’s Algorithm across Braket, Cirq, and Qiskit backends. Focused on metrics including fidelity, circuit depth, and execution time, the work emphasized maintainability by restructuring the repository, standardizing naming conventions, and updating CI/CD configurations. Deprecated the QEDC benchmark suite to streamline the codebase and concentrate on actively maintained benchmarks. Utilized Python, YAML, and TOML for implementation, with attention to code organization, documentation, and repository management to support data-driven quantum hardware assessment.
November 2024 monthly summary for iqm-finland/iqm-benchmarks. Key outcomes focus on delivering a cross-backend Quantum Benchmarks Framework, improving repository maintainability, and focusing on a maintained set of benchmarks to maximize business value.
November 2024 monthly summary for iqm-finland/iqm-benchmarks. Key outcomes focus on delivering a cross-backend Quantum Benchmarks Framework, improving repository maintainability, and focusing on a maintained set of benchmarks to maximize business value.

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