aiqbench takeQuantum Computing

JIJ's submission of benchmark results to QOBLIB marks a significant step toward standardizing performance evaluation in quantum optimization. By contributing data alongside classical methods, this initiative aims to establish a transparent baseline for comparing algorithmic efficiency across the industry. Such open benchmarking is essential for validating practical progress and fostering interoperability in near-term quantum applications.

Source coveringQuantum Zeitgeist

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QOBLIB gains quantum optimization data from JIJ

Quantum ZeitgeistAugust 21, 20261 min read

JIJ has submitted benchmark results for its quantum optimization method to QOBLIB, an open benchmarking library for evaluating and comparing quantum and classical optimization methods. JIJ is listed as one of the contributing organizations to QOBLIB, and IBM Quantum recently referenced JIJ in a technical blog about the library.

JIJ is now contributing benchmark results to QOBLIB, an open library evaluating both quantum and classical optimization methods, signaling a push for…

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