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The dataset, called hamlib (for hamiltonian library), is freely available online and contains problem sizes ranging from 2. Workshops and special sessions (cf '24. For a considerable time, large datasets containing problem instances have proven valuable for analyzing computer hardware, software, and algorithms

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One notable example of the value of large datasets is. In proceedings of the 21st acm international conference on computing frontiers This collection contains portions of hamlib

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A library of hamiltonians for benchmarking quantum algorithms and hardware

We currently support hamiltonians for several optimization problems. We demonstrate this framework on five hamiltonian models from the hamlib library The four categories of qubit hamiltonians included in hamlib These suites enable fair and rigorous comparisons of different methodologies and solutions, fostering continuous advancements in various areas of computer science and beyond