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2020 – today
- 2023
[c1]J. A. Montañez-Barrera, Pim van den Heuvel, Dennis Willsch, Kristel Michielsen:
Improving Performance in Combinatorial Optimization Problems with Inequality Constraints: An Evaluation of the Unbalanced Penalization Method on D-Wave Advantage. QCE 2023: 535-542- [i3]J. A. Montañez-Barrera, Pim van den Heuvel, Dennis Willsch, Kristel Michielsen:
Improving Performance in Combinatorial Optimization Problems with Inequality Constraints: An Evaluation of the Unbalanced Penalization Method on D-Wave Advantage. CoRR abs/2305.18757 (2023) - 2022
- [j1]J. A. Montañez-Barrera
, R. T. Holladay, G. P. Beretta, Michael R. von Spakovsky:
Method for generating randomly perturbed density operators subject to different sets of constraints. Quantum Inf. Process. 21(9): 314 (2022) - [i2]J. A. Montañez-Barrera, Juan Manuel Barroso-Maldonado, A. F. Bedoya-Santacruz, Adrian Mota-Babiloni:
Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels. CoRR abs/2201.07835 (2022) - 2020
- [i1]J. A. Montañez-Barrera, Cesar E. Damian-Ascencio, Michael R. von Spakovsky, Sergio Cano-Andrade:
Loss-of-entanglement prediction of a controlled-PHASE gate in the framework of steepest-entropy-ascent quantum thermodynamics. CoRR abs/2006.06092 (2020)
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