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Describe the bug When the same problem is annealed by different num_sweeps, even though num_sweep is set smaller, the annealing time may be long.
import openjij as oj N = 30 h = {0: -10} J = {(i, i+1): 1 for i in range(N-1)} num_reads = 10 for num_sweeps in [25, 50]: sampler = oj.SASampler(num_sweeps=num_sweeps, num_reads=num_reads) response = sampler.sample_ising(h, J) t = response.info["execution_time"] print(f"t(num_sweeps={num_sweeps}) = {t}") t(num_sweeps=25) = 88.32270978018641 t(num_sweeps=50) = 58.8218797929585
Expected behavior
Environment (please complete the following information):
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Describe the bug
When the same problem is annealed by different num_sweeps, even though num_sweep is set smaller, the annealing time may be long.
Expected behavior
Environment (please complete the following information):
The text was updated successfully, but these errors were encountered: