Corpus ID: 228063807

Gauge equivariant neural networks for quantum lattice gauge theories

@article{Luo2020GaugeEN,
  title={Gauge equivariant neural networks for quantum lattice gauge theories},
  author={Di Luo and G. Carleo and B. Clark and J. Stokes},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.05232}
}
Gauge symmetries play a key role in physics appearing in areas such as quantum field theories of the fundamental particles and emergent degrees of freedom in quantum materials. Motivated by the desire to efficiently simulate many-body quantum systems with exact local gauge invariance, gauge equivariant neural-network quantum states are introduced, which exactly satisfy the local Hilbert space constraints necessary for the description of quantum lattice gauge theory with Zd gauge group on… Expand
2 Citations

Figures from this paper

References

SHOWING 1-10 OF 35 REFERENCES
Deep-neural-network solution of the electronic Schrödinger equation
  • 61
  • PDF
Phys
  • Rev. Lett. 124, 020503
  • 2020
Phys
  • Rev. Research 2, 033429
  • 2020
Phys
  • Rev. Research 2, 023358
  • 2020
Phys
  • Rev. Lett. 124, 097201
  • 2020
Phys
  • Rev. B 102, 205122
  • 2020
Reports on Progress in Physics 83
  • 024401
  • 2020
and P
  • E. Shanahan, arXiv preprint arXiv:2008.05456
  • 2020
...
1
2
3
4
...