Roger G. Melko, Ph.D.
Affiliations: | 2005 | University of California, Santa Barbara, Santa Barbara, CA, United States |
Area:
Condensed Matter Theoretical PhysicsGoogle:
"Roger Melko"Mean distance: 6776
Parents
Sign in to add mentor| Douglas James Scalapino | grad student | 2005 | UC Santa Barbara | |
| (Quantum Monte Carlo simulations of spin 1/2 XY models with ring exchange.) | ||||
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Publications
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| Toledo-Marín JQ, Gonzalez S, Jia H, et al. (2025) Conditioned quantum-assisted deep generative surrogate for particle-binary vector indicating thecalorimeter interactions. Npj Quantum Information. 11: 114 |
| King AD, Nocera A, Rams MM, et al. (2025) Beyond-classical computation in quantum simulation. Science (New York, N.Y.). eado6285 |
| Yon V, Galaup B, Rohrbacher C, et al. (2025) Experimental Online Quantum Dots Charge Autotuning Using Neural Networks. Nano Letters |
| MacLellan B, Roztocki P, Czischek S, et al. (2024) End-to-end variational quantum sensing. Npj Quantum Information. 10: 118 |
| Melko RG, Carrasquilla J. (2024) Language models for quantum simulation. Nature Computational Science. 4: 11-18 |
| Bova F, Goldfarb A, Melko RG. (2021) Commercial applications of quantum computing. Epj Quantum Technology. 8: 2 |
| Yevick D, Melko RG. (2021) The accuracy of restricted Boltzmann machine models of Ising systems Computer Physics Communications. 258: 107518 |
| Torlai G, Melko RG. (2020) Machine-Learning Quantum States in the NISQ Era Annual Review of Condensed Matter Physics. 11: 325-344 |
| Torlai G, Carrasquilla J, Fishman MT, et al. (2020) Wave-function positivization via automatic differentiation Arxiv: Quantum Physics. 2 |
| Hibat-Allah M, Ganahl M, Hayward LE, et al. (2020) Recurrent Neural Network Wave Functions Arxiv: Disordered Systems and Neural Networks. 2 |