Dataset for "Estimating truncation effects of quantum bosonic systems using sampling algorithms"

Markov Chain Monte Carlo simulation data for the preprint.

T010ad***S10000M*_1.txt: simulation history for a_{dig} = 0.3, 0.5, 0.7, m^2 = 1, -1, B_max = 5000, used for Table 1 and Figure 1.

T010R100L401S10000M1_1.txt: simulation history for a_{dig} = 0.5, m^2 = 1, B_max = 1, used for Figure 2.

Table2.zip: contains simulation history for Table 2 and Figure 3. File name "T1a0.2S1250M1L4s2101.txt" indicates that the temperature is 1, a_{dig} = 0.2, Delta = 1250, m^2 = 1, lattice size is 4 * 4, and the random seed is 2101. Lines contain the expectation values of the potential energy and the two correlation functions obtained for successive steps. The largest estimated auto-correlation length d_q, which is used for the analysis, is as follows:

adig
d(0,0)
d(π,π)

0.2
37
4

0.25
38
4

0.3
37
4

0.4
41
4

0.5
59
5

0.6
130
7

0.7
369
15

0.8
968
55

0.9
2174
148

1.0
4491
319

The initial 10 d_q steps are discarded as a burn-in period, regardless of whether we conducted a warm-up run prior to the steps contained in this dataset.