begin scan code

poetry.lock

@@ -293,7 +293,7 @@ typer = "^0.4.0"
 type = "git"
 url = "git@gitlab.hrz.tu-chemnitz.de:s8896854--tu-dresden.de/hops.git"
 reference = "BathMemoryTruncation"
-resolved_reference = "17e7671e42891b52b9fd76262bedfa2a26e5f1f7"
+resolved_reference = "22ee9b9365203d32f0a755123b678f54237ecfd4"
 
 [[package]]
 name = "humanfriendly"

two_qubit_scan.py

@@ -0,0 +1,68 @@
+from two_qubit_model import TwoQubitModel
+from typing import Optional
+import tempfile
+from hops.core.integration import HOPSSupervisor
+from hops.core.hierarchy_parameters import HIParams
+from dataclasses import dataclass
+import numpy as np
+
+
+@dataclass
+class TruncationToleranceData:
+    tol: float
+    """The tolerance parameter for ``BathMemory`` truncation scheme."""
+
+    number_of_indices: int
+    """The number of indices given by the ``BathMemory`` truncation scheme"""
+
+    number_of_indices_ref: int
+    """The reference number of indices given by the ``Simplex`` truncation scheme"""
+
+    relative_error: float
+    """The maximum norm deviation of the ``BathMemory`` trajectory
+      from the reference ``Simplex`` trajectory divided by the maximum
+      of the norm of the reverence trajectory."""
+
+    k_max_ref: int
+    """The depth of the reference ``Simplex`` truncation scheme."""
+
+
+def get_one_trajctory(config: HIParams) -> np.ndarray:
+    """The"""
+
+
+def find_tol(
+    model: TwoQubitModel,
+    k_max_ref: int = 6,
+    start_tol: int = 4,
+    relative_error: float = 0.1,
+) -> Optional[float]:
+    """Find the tolerance for the ``BathMemory`` truncation scheme.
+
+    :param model: The model configuration.
+    :param k_max_ref: The depth of the reference ``Simplex``
+        truncation scheme.
+    :param start_tol: The start tolerance of the ``BathMemory``
+        truncation scheme.
+    :param relative_error: The maximum allowed norm deviation of the
+        ``BathMemory`` trajectory from the reference ``Simplex``
+        trajectory divided by the maximum of the norm of the
+        reverence trajectory.
+
+    :returns: The required tolerance parameter for ``BathMemory``
+              truncation scheme or ``None`` if none could be found.
+    """
+
+    simplex_model = model.copy()
+    simplex_model.truncation_scheme = "simplex"
+    simplex_model.k_max = k_max_ref
+
+    simplex_config = simplex_model.hops_config
+
+    with tempfile.TemporaryDirectory() as data_dir:
+        simplex_sup = HOPSSupervisor(
+            simplex_config,
+            number_of_samples=1,
+            data_path=data_dir,
+            data_name="data_conv",
+        )