Neural network representations of quantum states are hoped to provide an efficient basis for numerical methods without the need for case-by-case trial wave functions. Here the authors show that limited generalization capacity of such representations is responsible for convergence problems for frustrated systems.
- Tom Westerhout
- Nikita Astrakhantsev
- Andrey A. Bagrov
