AutoQUBO v2: Towards Efficient and Effective QUBO Formulations for Ising Machines
Author:
Affiliation:
1. Fujitsu Research of Europe, Berlin, Germany
2. Technical Univ. Berlin, Berlin, Germany
3. Fujitsu Research of Europe, Slough, United Kingdom
4. Fujitsu Ltd, Kawasaki, Japan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3583133.3590662
Reference14 articles.
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3. Mayowa Ayodele . 2022 . Penalty Weights in QUBO Formulations: Permutation Problems. In European Conference on Evolutionary Computation in Combinatorial Optimization (Part of EvoStar). Springer, 159--174 . Mayowa Ayodele. 2022. Penalty Weights in QUBO Formulations: Permutation Problems. In European Conference on Evolutionary Computation in Combinatorial Optimization (Part of EvoStar). Springer, 159--174.
4. Exact and sequential penalty weights in quadratic unconstrained binary optimisation with a digital annealer
5. Elizabeth Gibney . 2017. D-Wave upgrade: How scientists are using the world's most controversial quantum computer. Nature 541, 7638 ( 2017 ). Elizabeth Gibney. 2017. D-Wave upgrade: How scientists are using the world's most controversial quantum computer. Nature 541, 7638 (2017).
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