Publikationen von Ivan Glasser

Glasser, I.; Pancotti, N.; Cirac, J. I.: From Probabilistic Graphical Models to Generalized Tensor Networks for Supervised Learning. IEEE Access 8, S. 68169 - 68182 (2020)

Nielsen, A. E. B.; Glasser, I.; Rodrígues , I. D.: Quasielectrons as inverse quasiholes in lattice fractional quantum Hall models. New Journal of Physics 20, 033029 (2018)

Glasser, I.; Pancotti, N.; August, M.; Rodríguez, I. D.; Cirac, J. I.: Neural-Network Quantum States, String-Bond States, and Chiral Topological States. Physical Review X 8 (1), 011006 (2018)

Glasser, I.; Cirac, J. I.; Sierra, G.; Nielsen, A. E. B.: Lattice effects on Laughlin wave functions and parent Hamiltonians. Physical Review B 94 (24), 245104 (2016)

Glasser, I.; Sweke, R.; Pancotti, N.; Eisert, J.; Cirac, J. I.: Expressive power of tensor-network factorizations for probabilistic modeling. In: Advances in Neural Information Processing Systems, Bd. 32 (Hg. Wallach, H.; Larochelle, H.; Beygelzimer , A.; d'Alché-Buc , F.; Fox, E.). 33rd Conference on Neural Information Processing Systems (NeurIPS), Vancouver, CANADA, 08. Dezember 2019 - 14. Dezember 2019. Neural Information Processing Systems Foundation, Inc. ( NIPS ) (2019)

Glasser, I.: Tensor Networks, conformal fields and machine learning: applications in the description of quantum many-body systems. Dissertation, TU, München (2018)