| PARSEC–the pseudopotential algorithm for real‐space electronic structure calculations: recent advances and novel applications to nano‐structures L Kronik, A Makmal, ML Tiago, MMG Alemany, M Jain, X Huang, Y Saad, ... physica status solidi (b) 243 (5), 1063-1079, 2006 | 308 | 2006 |
| Quantum speedup for active learning agents GD Paparo, V Dunjko, A Makmal, MA Martin-Delgado, HJ Briegel Physical Review X 4 (3), 031002, 2014 | 271 | 2014 |
| Size-dependent spintronic properties of dilute magnetic semiconductor nanocrystals X Huang, A Makmal, JR Chelikowsky, L Kronik Physical review letters 94 (23), 236801, 2005 | 136 | 2005 |
| A self-interaction-free local hybrid functional: Accurate binding energies vis-à-vis accurate ionization potentials from Kohn-Sham eigenvalues T Schmidt, E Kraisler, A Makmal, L Kronik, S Kümmel The Journal of Chemical Physics 140 (18), 2014 | 90 | 2014 |
| Projective simulation for classical learning agents: a comprehensive investigation J Mautner, A Makmal, D Manzano, M Tiersch, HJ Briegel New Generation Computing 33, 69-114, 2015 | 63 | 2015 |
| Fully numerical all-electron solutions of the optimized effective potential equation for diatomic molecules A Makmal, S Kummel, L Kronik Journal of chemical theory and computation 5 (7), 1731-1740, 2009 | 60 | 2009 |
| Projective simulation with generalization AA Melnikov, A Makmal, V Dunjko, HJ Briegel Scientific reports 7 (1), 14430, 2017 | 55 | 2017 |
| Dissociation of diatomic molecules and the exact-exchange Kohn-Sham potential: The case of LiF A Makmal, S Kuemmel, L Kronik Physical Review A—Atomic, Molecular, and Optical Physics 83 (6), 062512, 2011 | 53 | 2011 |
| Meta-learning within projective simulation A Makmal, AA Melnikov, V Dunjko, HJ Briegel IEEE Access 4, 2110-2122, 2016 | 39 | 2016 |
| Projective simulation applied to the grid-world and the mountain-car problem AA Melnikov, A Makmal, HJ Briegel arXiv preprint arXiv:1405.5459, 2014 | 29 | 2014 |
| Quantum walks on embedded hypercubes A Makmal, M Zhu, D Manzano, M Tiersch, HJ Briegel Physical Review A 90 (2), 022314, 2014 | 24 | 2014 |
| Benchmarking projective simulation in navigation problems AA Melnikov, A Makmal, HJ Briegel IEEE Access 6, 64639-64648, 2018 | 22 | 2018 |
| Examining the role of pseudopotentials in exact-exchange-based Kohn-Sham gaps A Makmal, R Armiento, E Engel, L Kronik, S Kümmel Physical Review B—Condensed Matter and Materials Physics 80 (16), 161204, 2009 | 18 | 2009 |
| Approximate encoding of quantum states using shallow circuits M Ben-Dov, D Shnaiderov, A Makmal, EG Dalla Torre npj Quantum Information 10 (1), 65, 2024 | 12* | 2024 |
| Iteration-free quantum approximate optimization algorithm using neural networks O Amosy, T Danzig, O Lev, E Porat, G Chechik, A Makmal Quantum Machine Intelligence 6 (2), 38, 2024 | 11 | 2024 |
| Fully numerical all-electron solutions of the optimized effective potential equation for diatomic molecules A Makmal, S Kümmel, L Kronik Journal of Chemical Theory and Computation 7 (8), 2665-2665, 2011 | 8 | 2011 |
| A variational qubit-efficient maxcut heuristic algorithm Y Tene-Cohen, T Kelman, O Lev, A Makmal arXiv preprint arXiv:2308.10383, 2023 | 5 | 2023 |
| Quantum walks on embedded hypercubes: Nonsymmetric and nonlocal cases A Makmal, M Tiersch, C Ganahl, HJ Briegel Physical Review A 93 (2), 022322, 2016 | 5 | 2016 |
| A qubit-efficient variational selected configuration-interaction method D Yoffe, N Entin, A Natan, A Makmal Quantum Science and Technology 10 (1), 015020, 2024 | 4 | 2024 |
| Entanglement of –locally-maximally-entangleable states and the satisfiability problem A Makmal, M Tiersch, V Dunjko, S Wu Physical Review A 90 (4), 042308, 2014 | 2 | 2014 |
