| Pennylane: Automatic differentiation of hybrid quantum-classical computations V Bergholm, J Izaac, M Schuld, C Gogolin, S Ahmed, V Ajith, MS Alam, ... arXiv preprint arXiv:1811.04968, 2018 | 809 | 2018 |
| ANN-based correlation for frictional pressure drop of non-azeotropic mixtures during cryogenic forced boiling JM Barroso-Maldonado, JA Montañez-Barrera, JM Belman-Flores, ... Applied Thermal Engineering 149, 492-501, 2019 | 24 | 2019 |
| Testing swampland conjectures with machine learning NC Bizet, C Damian, O Loaiza-Brito, DK Mayorga Peña, ... The European Physical Journal C 80 (8), 766, 2020 | 20 | 2020 |
| Unbalanced penalization: A new approach to encode inequality constraints of combinatorial problems for quantum optimization algorithms A Montanez-Barrera, D Willsch, A Maldonado-Romo, K Michielsen arXiv preprint arXiv:2211.13914, 2022 | 11 | 2022 |
| Loss-of-entanglement prediction of a controlled-PHASE gate in the framework of steepest-entropy-ascent quantum thermodynamics JA Montañez-Barrera, CE Damian-Ascencio, MR von Spakovsky, ... Physical Review A 101 (052336), 10, 2020 | 11 | 2020 |
| Solution to the economic emission dispatch problem using numerical polynomial homotopy continuation OI Barbosa-Ayala, JA Montañez-Barrera, CE Damian-Ascencio, ... Energies 13 (17), 4281, 2020 | 9 | 2020 |
| Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels JA Montañez-Barrera, JM Barroso-Maldonado, AF Bedoya-Santacruz, ... International Journal of Heat and Mass Transfer 194, 123017, 2022 | 7 | 2022 |
| Decoherence predictions in a superconducting quantum processor using the steepest-entropy-ascent quantum thermodynamics framework JA Montañez-Barrera, MR von Spakovsky, CE Damian Ascencio, ... Physical Review A 106 (3), 032426, 2022 | 5 | 2022 |
| Effects of producer and transmission reliability on the sustainability assessment of power system networks JR Vargas-Jaramillo, JA Montanez-Barrera, MR von Spakovsky, L Mili, ... Energies 12 (3), 546, 2019 | 4 | 2019 |
| Redes neuronales en predicción de mercados financieros: una aplicación en la bolsa mexicana de valores (neural networks in financial market prediction: an application in the … MAB Montañez, AO Hernández, JAM Barrera, SL Castillo Pistas educativas 40 (130), 2018 | 4 | 2018 |
| Method for generating randomly perturbed density operators subject to different sets of constraints JA Montañez-Barrera, RT Holladay, GP Beretta, MR von Spakovsky Quantum Information Processing 21 (9), 314, 2022 | 3 | 2022 |
| Transfer learning of optimal QAOA parameters in combinatorial optimization JA Montanez-Barrera, D Willsch, K Michielsen arXiv preprint arXiv:2402.05549, 2024 | 2 | 2024 |
| Improving Performance in Combinatorial Optimization Problems with Inequality Constraints: An Evaluation of the Unbalanced Penalization Method on D-Wave Advantage JA Montanez-Barrera, P van den Heuvel, D Willsch, K Michielsen 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | 2 | 2023 |
| Analysis of elements in local area and remote for teleoperation of AL5A robotic arm JA Montañez-Barrera, ML Pinto-Salamanca Prospectiva 15 (1), 53-63, 2017 | 2* | 2017 |
| Towards a universal QAOA protocol: Evidence of quantum advantage in solving combinatorial optimization problems JA Montanez-Barrera, K Michielsen arXiv preprint arXiv:2405.09169, 2024 | | 2024 |
| JUNIQ's Spring School in Quantum Information Processing N Küchler, MS Jattana, D Nabok, CD Gonzalez Calaza, K Michielsen, ... JUNIQ's Spring School in Quantum Information Processing, 2023 | | 2023 |
| MEJORA DEL PROCESO DE SELECCIÓN DE PERSONAL MEDIANTE LA APLICACIÓN DE REDES NEURONALES: UN CASO DE ESTUDIO EN EL SECTOR TEXTIL (IMPROVEMENT OF THE PROCESS OF SELECTION OF … CAM Núñez, AO Hernández, JAM Barrera, RAL Morales, MAB Montañez Pistas Educativas 40 (130), 2018 | | 2018 |
Michael von SpakovskyRobert E. Hord, Jr. Professor in Mechanical Engineering, Virginia TechVerified email at vt.edu
