Add geometry-vector-v1 layout embeddings

Publish 4577 deterministic unit-normalized geometry vectors, schema, and dataset card.

README.md

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+---
+license: mit
+configs:
+- config_name: geometry-vector-v1
+  data_files:
+  - split: train
+    path: "metadata/geometry-vector-v1.parquet"
+tags:
+- quantum
+- superconducting
+- qiskit-metal
+- gds
+- layout
+- embedding
+- geometry
+pretty_name: SQuADDS Layout Embeddings
+size_categories:
+- 1K<n<10K
+---
+
+<center>
+  <img src="https://github.com/LFL-Lab/SQuADDS/blob/master/docs/_static/images/squadds_logo_dark_name.png?raw=true" width="80%" alt="SQuADDS Logo" />
+</center>
+
+# SQuADDS Layout Embeddings
+
+Versioned, reproducible geometry vectors for layouts in
+[SQuADDS/SQuADDS_Layouts](https://huggingface.co/datasets/SQuADDS/SQuADDS_Layouts).
+
+## `geometry-vector-v1`
+
+This release provides 4,577 unit-normalized vectors, one per layout in the
+paired layout registry. Each 23-dimensional vector is derived exclusively from
+the released `geometry-features-v1` table: global bounds and counts, plus
+presence, area fraction, and polygon fraction for each observed layer/datatype
+pair.
+
+This is a deterministic baseline for reproducible nearest-layout retrieval. It
+is **not** a learned model embedding and does not replace raw GDS geometry.
+The exact feature order, layer vocabulary, normalization rule, and source
+feature-schema version are frozen in `metadata/geometry-vector-v1.schema.json`.
+
+Every record retains `layout_id`, `artifact_id`, `design_id`, `component_name`,
+and `source_id` to link it directly to the simulation database and checksum
+verified GDS artifact.
+
+## Access
+
+```python
+from squadds.layouts import GeometryEmbeddingClient
+
+embeddings = GeometryEmbeddingClient()
+record = embeddings.get("layout:sha256:<layout hash>")
+neighbors = embeddings.nearest(record["layout_id"], limit=10)
+```
+
+For raw geometry, simulation provenance, and numerical geometry features, use
+the [SQuADDS Layouts dataset](https://huggingface.co/datasets/SQuADDS/SQuADDS_Layouts).
+
+## Citation
+
+If you use this dataset, cite SQuADDS:
+
+```bibtex
+@article{Shanto2024squaddsvalidated,
+  doi = {10.22331/q-2024-09-09-1465},
+  title = {{SQ}u{ADDS}: {A} validated design database and simulation workflow for superconducting qubit design},
+  author = {Shanto, Sadman and Kuo, Andre and Miyamoto, Clark and Zhang, Haimeng and Maurya, Vivek and Vlachos, Evangelos and Hecht, Malida and Shum, Chung Wa and Levenson-Falk, Eli},
+  journal = {{Quantum}},
+  volume = {8},
+  pages = {1465},
+  year = {2024}
+}
+```
+
+This dataset is licensed under the [MIT License](https://github.com/LFL-Lab/SQuADDS/blob/master/LICENSE).

metadata/geometry-vector-v1.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ff9fc02154da56a58095af4100f48c4557d9f17aa05d9bbd13cffeecb48907ab
+size 1614070

metadata/geometry-vector-v1.schema.json

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+{
+  "geometry_vector_schema_version": "1.0.0",
+  "source_geometry_feature_schema_version": "1.0.0",
+  "normalization": "L2 unit norm; raw dimensions use log1p except log aspect ratio and layer fractions.",
+  "layer_vocabulary": [
+    {
+      "layer": 1,
+      "datatype": 0
+    },
+    {
+      "layer": 1,
+      "datatype": 10
+    },
+    {
+      "layer": 1,
+      "datatype": 11
+    },
+    {
+      "layer": 2,
+      "datatype": 0
+    },
+    {
+      "layer": 3,
+      "datatype": 0
+    }
+  ],
+  "feature_names": [
+    "log1p_bbox_width_um",
+    "log1p_bbox_height_um",
+    "log1p_bbox_area_um2",
+    "log_bbox_aspect_ratio",
+    "log1p_total_area_um2",
+    "log1p_polygon_count",
+    "log1p_cell_count",
+    "log1p_layer_count",
+    "layer_1_datatype_0_present",
+    "layer_1_datatype_0_area_fraction",
+    "layer_1_datatype_0_polygon_fraction",
+    "layer_1_datatype_10_present",
+    "layer_1_datatype_10_area_fraction",
+    "layer_1_datatype_10_polygon_fraction",
+    "layer_1_datatype_11_present",
+    "layer_1_datatype_11_area_fraction",
+    "layer_1_datatype_11_polygon_fraction",
+    "layer_2_datatype_0_present",
+    "layer_2_datatype_0_area_fraction",
+    "layer_2_datatype_0_polygon_fraction",
+    "layer_3_datatype_0_present",
+    "layer_3_datatype_0_area_fraction",
+    "layer_3_datatype_0_polygon_fraction"
+  ],
+  "dimensions": 23
+}