:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yee, Brandon, Collins, Wilson, Rutkowski, Maximilian
Format:	Preprint
Publié:	2026
Sujets:	Strongly Correlated Electrons Disordered Systems and Neural Networks Machine Learning Quantum Physics
Accès en ligne:	https://arxiv.org/abs/2602.21468
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Brute-force positivization of $J_1-J_2$ model ground states
par: Bannykh, P. A., et autres
Publié: (2025)

Simulating superconductivity in mixed-dimensional $t_\parallel$-${J}_\parallel$-${J}_\perp$ bilayers with neural quantum states
par: Lange, Hannah, et autres
Publié: (2026)

From Classical to Quantum: Extending Prometheus for Unsupervised Discovery of Phase Transitions in Three Dimensions and Quantum Systems
par: Yee, Brandon, et autres
Publié: (2026)

Topological Phases of Many-Body Localized Systems: Beyond Eigenstate Order
par: Long, David M., et autres
Publié: (2024)

Shaping Magnetic Order by Local Frustration for Itinerant Fermions on a Graph
par: S, Revathy B, et autres
Publié: (2025)

The toric code under antiferromagnetic isotropic Heisenberg interactions
par: Jang, Won, et autres
Publié: (2026)

Magnetic correlations in the $SU(3)$ triangular-lattice $t$-$J$ model at finite doping
par: Böhler, Annika, et autres
Publié: (2025)

Simulating the two-dimensional $t-J$ model at finite doping with neural quantum states
par: Lange, Hannah, et autres
Publié: (2024)

Quantum Spin Glass in the Two-Dimensional Disordered Heisenberg Model via Foundation Neural-Network Quantum States
par: Viteritti, Luciano Loris, et autres
Publié: (2025)

Unsupervised Machine Learning Phase Classification for Falicov-Kimball Model
par: Frk, Lukáš, et autres
Publié: (2024)

Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets on the square lattice
par: Moss, M. Schuyler, et autres
Publié: (2025)

Leveraging recurrence in neural network wavefunctions for large-scale simulations of Heisenberg antiferromagnets on the triangular lattice
par: Moss, M. Schuyler, et autres
Publié: (2025)

Entanglement Randomness and Gapped Itinerant Carriers in a Frustrated Quantum Magnet
par: Cairns, Luke Pritchard, et autres
Publié: (2024)

Adversarial Machine Learning Phases of Matter
par: Jiang, Si, et autres
Publié: (2019)

Data-efficient surrogate modeling of spectral functions using Gaussian processes: An application to the $t$-$t'$-$t''$-$J$ model
par: Jantre, Sanket, et autres
Publié: (2026)

Connecting the avoided quantum critical point to the magic-angle transition in three-dimensional Weyl semimetals
par: Pixley, J. H., et autres
Publié: (2023)

Frustrated Quantum Magnetism on Complex Networks: What Sets the Total Spin
par: Gopalakrishnan, Preethi, et autres
Publié: (2024)

Crossover to Sachdev-Ye-Kitaev criticality in an infinite-range quantum Heisenberg spin glass
par: Hosseinabadi, Hossein, et autres
Publié: (2026)

Universal Quantum Suppression in Frustrated Ising Magnets across the Quasi-1D to 2D Crossover via Quantum Annealing
par: Ghosh, Kumar
Publié: (2026)

Quantum-critical scaling at the Bose-glass transition of the 3d diluted Heisenberg antiferromagnet in a field
par: Fan, Yuchen, et autres
Publié: (2022)

Post-selected Criticality in Measurement-induced Phase Transitions
par: Nambi, Dolly, et autres
Publié: (2026)

Operator delocalization in disordered spin chains via exact MPO marginals
par: Pineda, Jonnathan, et autres
Publié: (2026)

Out of Time Order Correlation of the Hubbard Model with Random Local Disorder
par: Rangi, Chakradhar, et autres
Publié: (2024)

An Analysis of First- and Quasi-Second-Order Optimization Algorithms in Variational Monte Carlo
par: Peng, Ruojing, et autres
Publié: (2025)

Learning by Confusion: The Phase Diagram of the Holstein Model
par: Issa, George, et autres
Publié: (2025)

Comment on "Spin-1/2 Kagome Heisenberg Antiferromagnet: Machine Learning Discovery of the Spinon Pair-Density-Wave Ground State"
par: Kamal, Helia, et autres
Publié: (2026)

Phase Transitions and Critical Behavior in Quasi-One-Dimensional Two-Channel Systems with Quasiperiodic Disorder
par: Pouranvari, Mohammad
Publié: (2025)

Graph-Theoretic Analysis of Phase Optimization Complexity in Variational Wave Functions for Heisenberg Antiferromagnets
par: Shamim, Mahmud Ashraf, et autres
Publié: (2026)

Transformer Wave Function for two dimensional frustrated magnets: emergence of a Spin-Liquid Phase in the Shastry-Sutherland Model
par: Viteritti, Luciano Loris, et autres
Publié: (2023)

Dynamical learning and quantum memory with non-Hermitian many-body systems
par: Ivaki, Moein N., et autres
Publié: (2025)

Neural Quantum State Study of Fracton Models
par: Machaczek, Marc, et autres
Publié: (2024)

Unveiling a Hidden Percolation Transition in Monitored Clifford Circuits: Inroads from ZX-Calculus
par: Buznach, Einat, et autres
Publié: (2025)

Interpretable correlator Transformer for image-like quantum matter data
par: Suresh, Abhinav, et autres
Publié: (2024)

Localized dopant motion across the 2D Ising phase transition
par: Nielsen, K. Knakkergaard
Publié: (2024)

Physics-informed Transformers for Electronic Quantum States
par: Sobral, João Augusto, et autres
Publié: (2024)

Floquet mobility edges and transport in a periodically driven generalized Aubry-André model
par: Das, Jayashis, et autres
Publié: (2026)

Dynamical control in a prethermalized molecular ultracold plasma: Local dissipation drives global relaxation
par: Wang, Ruoxi, et autres
Publié: (2024)

Comment on "Can Neural Quantum States Learn Volume-Law Ground States?"
par: Denis, Zakari, et autres
Publié: (2023)

Discovering Factorization Surface of Quantum Spin Chains with Machine Learning
par: Aggarwal, Nakul, et autres
Publié: (2024)

Solving and visualizing fractional quantum Hall wavefunctions with neural network
par: Teng, Yi, et autres
Publié: (2024)