Table 2 Extrapolated simulation time

From: Tensor networks for lattice gauge theories beyond one dimension

System size

χ

Factor

Extrapolated walltime

64 × 64

450

Tbase

4.16 days

64 × 64

900

16 Tbase

66.6 days

256 × 256

450

28 Tbase

116.5 days

256 × 256

900

448 Tbase

5.1 years

16 × 16 × 16

450

4 Tbase

16.6 days

16 × 16 × 16

900

64 Tbase

266 days

64 × 64 × 64

450

1984 Tbase

23 years

64 × 64 × 64

900

31744 Tbase

362 years

  1. We derive the baseline from a single-tensor optimization of a 64 × 64 quantum Ising model in (15) simulated with 7192 s on a single A100 GPU with 64 GB memory. Further, we assume a single-tensor update, one tensor and one GPU per MPI thread, and 50 sweeps for the baseline.
  2. To extrapolate to larger systems, we assume a scaling with \({{{{\mathcal{O}}}}}({\chi }^{4}{N}^{D-1})\) as well as seven (31) tensors per MPI thread for 256 × 256 (64 × 64 × 64) systems. The empirical scaling is approximately a factor of 2.3 for doubling the system size of the two-dimensional system versus a theoretical value of 2; for doubling the bond dimension, the computation time grows by a factor of 13 versus a theoretical scaling of 16. The factors are obtained from smaller simulations with χ = 225 and for 32 × 32 qubits. The predictions of times are based on a scaling where d < χ.