papers, open-source projects, and learning resources on quantum compilers
Arline Benchmarks platform allows to benchmark various algorithms for quantum circuit mapping/compression against each other on a list of predefined hardware types and target circuit classes
metriq-gym is a framework for implementing and running standard quantum benchmarks on different quantum devices by different providers
In this work, we use LR-QAOA protocol as an easy-to-implement scalable benchmarking methodology that assesses quantum processing units (QPUs) at different widths (number of qubits) and 2-qubit gate depths.
Python code to run the Q-score (Max-Cut and Max-Clique) benchmark on various backends
Surrogate benchmark for QAS. Includes code, datasets, and tools for fast evaluation and integration into custom QAS pipelines.
Quantum Circuit Simulator Benchmark Tool
An Execution-Level Benchmark Suite for Quantum Software Engineering
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