A Novel Ant Colony Optimization Strategy for the Quantum Circuit Compilation Problem

Author:

Baioletti MarcoORCID,Rasconi RiccardoORCID,Oddi AngeloORCID

Publisher

Springer International Publishing

Reference23 articles.

1. Baioletti, M., Milani, A., Poggioni, V., Rossi, F.: Experimental evaluation of pheromone models in ACOPlan. Ann. Math. Artif. Intell. 62(3), 187–217 (2011). https://doi.org/10.1007/s10472-011-9265-7

2. Lecture Notes in Computer Science;M Baioletti,2017

3. Booth, K.E.C., Do, M., Beck, C., Rieffel, E., Venturelli, D., Frank, J.: Comparing and integrating constraint programming and temporal planning for quantum circuit compilation. In: Proceedings of the $$28^{th}$$ International Conference on Automated Planning & Scheduling, ICAPS 2018, pp. 366–374 (2018)

4. Brierley, S.: Efficient implementation of quantum circuits with limited qubit interactions. Quantum Inf. Comput. 17(13–14), 1096–1104 (2017). http://dl.acm.org/citation.cfm?id=3179575.3179577

5. Chand, S., Singh, H.K., Ray, T., Ryan, M.: Rollout based heuristics for the quantum circuit compilation problem. In: 2019 IEEE Congress on Evolutionary Computation (CEC), pp. 974–981 (2019)

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