The benchmarking problems in the QOBLIB are model-, algorithm-, and hardware-agnostic, meaning you can try your hand at solving them with any quantum or classical ...
We also provide working examples of how to use the QDataSet in practice and its use in benchmarking certain algorithms. Each part below provides in-depth detail on...
The dataset is composed of three multidimensional arrays X (7165 x 23 x 23), T (7165) and P (5 x 1433) representing the inputs (Coulomb matrices), the labels (atom...
The repository tracks the progress of quantum computing algorithms and applications. It is made of libraries that include community-proposed benchmarking problems ...
We observed several interesting experimental phenomena: fine-tuning does not always outperform few-shot learning, and LLMs tend to exhibit consistent error patterns. QCircu...
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