diff --git a/src/oqd_dataschema/__init__.py b/src/oqd_dataschema/__init__.py
index ef09b9f..0801c23 100644
--- a/src/oqd_dataschema/__init__.py
+++ b/src/oqd_dataschema/__init__.py
@@ -16,6 +16,7 @@
 from .constrained import condataset, confolder, contable
 from .dataset import CastDataset, Dataset
 from .datastore import Datastore
+from .emulator import TrICalEmulatorDataGroup
 from .folder import CastFolder, Folder
 from .group import GroupBase, GroupRegistry
 from .table import CastTable, Table
@@ -27,6 +28,7 @@
     "Attrs",
     "DTypes",
     "Datastore",
+    "TrICalEmulatorDataGroup",
     "GroupBase",
     "GroupRegistry",
     "Dataset",
diff --git a/src/oqd_dataschema/emulator.py b/src/oqd_dataschema/emulator.py
new file mode 100644
index 0000000..3d82ac0
--- /dev/null
+++ b/src/oqd_dataschema/emulator.py
@@ -0,0 +1,42 @@
+# Copyright 2024-2025 Open Quantum Design
+
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+
+#     http://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from oqd_dataschema.constrained import condataset
+from oqd_dataschema.group import GroupBase
+
+########################################################################################
+
+__all__ = ["TrICalEmulatorDataGroup"]
+
+########################################################################################
+
+
+class TrICalEmulatorDataGroup(GroupBase):
+    """
+    Schema for TrICal emulator time-evolution output.
+
+    Attributes:
+        tspan: 1D array of saved times.
+        states: Complex state trajectory. Kets use shape `(n_tsteps, hilbert_dim)`;
+            density matrices use shape `(n_tsteps, hilbert_dim, hilbert_dim)`.
+        final_state: Complex final ket or density matrix.
+    """
+
+    tspan: condataset(dtype_constraint=("float32", "float64"), min_dim=1, max_dim=1)
+    states: condataset(
+        dtype_constraint=("complex64", "complex128"), min_dim=2, max_dim=3
+    )
+    final_state: condataset(
+        dtype_constraint=("complex64", "complex128"), min_dim=1, max_dim=2
+    )
diff --git a/tests/test_emulator.py b/tests/test_emulator.py
new file mode 100644
index 0000000..93113e6
--- /dev/null
+++ b/tests/test_emulator.py
@@ -0,0 +1,96 @@
+# Copyright 2024-2025 Open Quantum Design
+
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+
+#     http://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import numpy as np
+import pytest
+
+from oqd_dataschema import Dataset, Datastore, TrICalEmulatorDataGroup
+
+########################################################################################
+
+
+class TestTrICalEmulatorDataGroup:
+    def test_serialize_deserialize_ket_trajectory(self, tmp_path):
+        f = tmp_path / "trical_ket.h5"
+        tspan = np.linspace(0.0, 1.0, 3)
+        states = np.array(
+            [[1.0, 0.0], [0.5, 0.5j], [0.0, 1.0]], dtype=np.complex128
+        )
+        final_state = states[-1]
+
+        datastore = Datastore(
+            groups={
+                "emulation": TrICalEmulatorDataGroup(
+                    tspan=Dataset(data=tspan),
+                    states=Dataset(data=states),
+                    final_state=Dataset(data=final_state),
+                    attrs={
+                        "backend": "qutip",
+                        "solver": "SESolver",
+                        "timestep": 0.5,
+                        "hilbert_space": '{"E0": 2}',
+                        "frame": "none",
+                    },
+                )
+            }
+        )
+
+        datastore.model_dump_hdf5(f)
+        loaded = Datastore.model_validate_hdf5(f)
+
+        group = loaded["emulation"]
+        np.testing.assert_allclose(group.tspan.data, tspan)
+        np.testing.assert_allclose(group.states.data, states)
+        np.testing.assert_allclose(group.final_state.data, final_state)
+        assert group.attrs["backend"] == "qutip"
+        assert group.attrs["solver"] == "SESolver"
+
+    def test_serialize_deserialize_density_matrix_trajectory(self, tmp_path):
+        f = tmp_path / "trical_density_matrix.h5"
+        tspan = np.linspace(0.0, 1.0, 2)
+        states = np.array(
+            [
+                [[1.0, 0.0], [0.0, 0.0]],
+                [[0.5, 0.0], [0.0, 0.5]],
+            ],
+            dtype=np.complex128,
+        )
+        final_state = states[-1]
+
+        datastore = Datastore(
+            groups={
+                "emulation": TrICalEmulatorDataGroup(
+                    tspan=Dataset(data=tspan),
+                    states=Dataset(data=states),
+                    final_state=Dataset(data=final_state),
+                    attrs={"backend": "qutip", "solver": "MESolver"},
+                )
+            }
+        )
+
+        datastore.model_dump_hdf5(f)
+        loaded = Datastore.model_validate_hdf5(f)
+
+        group = loaded["emulation"]
+        np.testing.assert_allclose(group.states.data, states)
+        np.testing.assert_allclose(group.final_state.data, final_state)
+        assert group.attrs["solver"] == "MESolver"
+
+    @pytest.mark.xfail(raises=ValueError)
+    def test_rejects_non_complex_states(self):
+        TrICalEmulatorDataGroup(
+            tspan=Dataset(data=np.linspace(0.0, 1.0, 2)),
+            states=Dataset(data=np.ones((2, 2))),
+            final_state=Dataset(data=np.ones(2, dtype=np.complex128)),
+        )