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- "We use the covariance matrix adaptation-evolution strategy (CMA-ES) algorithm instead of, for instance, Nelder-Mead to handle the large number of parameters. With these improvements we experimentally optimize pulses with up to 55 parameters."
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- "We use the covariance matrix adaptation-evolution strategy (CMA-ES) algorithm instead of, for instance, Nelder-Mead to handle the large number of parameters. With these improvements we experimentally optimize pulses with up to 55 parameters."
- Menke, T., Häse, F., Gustavsson, S., Kerman, A.J., Oliver, W.D. and Aspuru-Guzik, A., 2021. Automated design of superconducting circuits and its application to 4-local couplers. npj Quantum Information, 7(1), p.49. [ www ] ( PSO | Continuous Optimization )
- "The best two of the 15,000 circuits are kept after filtering and are refined using the evolution-inspired swarm optimization module."
- "The subsequent swarm optimization with a total of 8000 circuit evaluations in 200 iteration steps took an average of 51.2 ± 15.9 h (23.0 s/circuit)."
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