microsoft/qdk
Publicmirrored from https://github.com/microsoft/qdkAvailable
source/pip/tests/qre/test_estimation_table.py
370lines · modecode
| 1 | # Copyright (c) Microsoft Corporation. |
| 2 | # Licensed under the MIT License. |
| 3 | |
| 4 | import pytest |
| 5 | |
| 6 | cirq = pytest.importorskip("cirq") |
| 7 | |
| 8 | import pandas as pd |
| 9 | |
| 10 | from qsharp.qre import ( |
| 11 | PSSPC, |
| 12 | LatticeSurgery, |
| 13 | estimate, |
| 14 | ) |
| 15 | from qsharp.qre.application import QSharpApplication |
| 16 | from qsharp.qre.models import SurfaceCode, GateBased |
| 17 | from qsharp.qre._estimation import ( |
| 18 | EstimationTable, |
| 19 | EstimationTableEntry, |
| 20 | ) |
| 21 | from qsharp.qre._instruction import InstructionSource |
| 22 | from qsharp.qre.instruction_ids import LATTICE_SURGERY |
| 23 | from qsharp.qre.property_keys import DISTANCE, NUM_TS_PER_ROTATION |
| 24 | |
| 25 | from .conftest import ExampleFactory |
| 26 | |
| 27 | |
| 28 | def _make_entry(qubits, runtime, error, properties=None): |
| 29 | """Helper to create an EstimationTableEntry with a dummy InstructionSource.""" |
| 30 | return EstimationTableEntry( |
| 31 | qubits=qubits, |
| 32 | runtime=runtime, |
| 33 | error=error, |
| 34 | source=InstructionSource(), |
| 35 | properties=properties or {}, |
| 36 | ) |
| 37 | |
| 38 | |
| 39 | def test_estimation_table_default_columns(): |
| 40 | """Test that a new EstimationTable has the three default columns.""" |
| 41 | table = EstimationTable() |
| 42 | table.append(_make_entry(100, 5000, 0.01)) |
| 43 | |
| 44 | frame = table.as_frame() |
| 45 | assert list(frame.columns) == ["qubits", "runtime", "error"] |
| 46 | assert frame["qubits"][0] == 100 |
| 47 | assert frame["runtime"][0] == pd.Timedelta(5000, unit="ns") |
| 48 | assert frame["error"][0] == 0.01 |
| 49 | |
| 50 | |
| 51 | def test_estimation_table_multiple_rows(): |
| 52 | """Test as_frame with multiple entries.""" |
| 53 | table = EstimationTable() |
| 54 | table.append(_make_entry(100, 5000, 0.01)) |
| 55 | table.append(_make_entry(200, 10000, 0.02)) |
| 56 | table.append(_make_entry(300, 15000, 0.03)) |
| 57 | |
| 58 | frame = table.as_frame() |
| 59 | assert len(frame) == 3 |
| 60 | assert list(frame["qubits"]) == [100, 200, 300] |
| 61 | assert list(frame["error"]) == [0.01, 0.02, 0.03] |
| 62 | |
| 63 | |
| 64 | def test_estimation_table_empty(): |
| 65 | """Test as_frame with no entries produces an empty DataFrame.""" |
| 66 | table = EstimationTable() |
| 67 | frame = table.as_frame() |
| 68 | assert len(frame) == 0 |
| 69 | |
| 70 | |
| 71 | def test_estimation_table_add_column(): |
| 72 | """Test adding a column to the table.""" |
| 73 | VAL = 0 |
| 74 | |
| 75 | table = EstimationTable() |
| 76 | table.append(_make_entry(100, 5000, 0.01, properties={VAL: 42})) |
| 77 | table.append(_make_entry(200, 10000, 0.02, properties={VAL: 84})) |
| 78 | |
| 79 | table.add_column("val", lambda e: e.properties[VAL]) |
| 80 | |
| 81 | frame = table.as_frame() |
| 82 | assert list(frame.columns) == ["qubits", "runtime", "error", "val"] |
| 83 | assert list(frame["val"]) == [42, 84] |
| 84 | |
| 85 | |
| 86 | def test_estimation_table_add_column_with_formatter(): |
| 87 | """Test adding a column with a formatter.""" |
| 88 | NS = 0 |
| 89 | |
| 90 | table = EstimationTable() |
| 91 | table.append(_make_entry(100, 5000, 0.01, properties={NS: 1000})) |
| 92 | |
| 93 | table.add_column( |
| 94 | "duration", |
| 95 | lambda e: e.properties[NS], |
| 96 | formatter=lambda x: pd.Timedelta(x, unit="ns"), |
| 97 | ) |
| 98 | |
| 99 | frame = table.as_frame() |
| 100 | assert frame["duration"][0] == pd.Timedelta(1000, unit="ns") |
| 101 | |
| 102 | |
| 103 | def test_estimation_table_add_multiple_columns(): |
| 104 | """Test adding multiple columns preserves order.""" |
| 105 | A = 0 |
| 106 | B = 1 |
| 107 | C = 2 |
| 108 | |
| 109 | table = EstimationTable() |
| 110 | table.append(_make_entry(100, 5000, 0.01, properties={A: 1, B: 2, C: 3})) |
| 111 | |
| 112 | table.add_column("a", lambda e: e.properties[A]) |
| 113 | table.add_column("b", lambda e: e.properties[B]) |
| 114 | table.add_column("c", lambda e: e.properties[C]) |
| 115 | |
| 116 | frame = table.as_frame() |
| 117 | assert list(frame.columns) == ["qubits", "runtime", "error", "a", "b", "c"] |
| 118 | assert frame["a"][0] == 1 |
| 119 | assert frame["b"][0] == 2 |
| 120 | assert frame["c"][0] == 3 |
| 121 | |
| 122 | |
| 123 | def test_estimation_table_insert_column_at_beginning(): |
| 124 | """Test inserting a column at index 0.""" |
| 125 | NAME = 0 |
| 126 | |
| 127 | table = EstimationTable() |
| 128 | table.append(_make_entry(100, 5000, 0.01, properties={NAME: "test"})) |
| 129 | |
| 130 | table.insert_column(0, "name", lambda e: e.properties[NAME]) |
| 131 | |
| 132 | frame = table.as_frame() |
| 133 | assert list(frame.columns) == ["name", "qubits", "runtime", "error"] |
| 134 | assert frame["name"][0] == "test" |
| 135 | |
| 136 | |
| 137 | def test_estimation_table_insert_column_in_middle(): |
| 138 | """Test inserting a column between existing default columns.""" |
| 139 | EXTRA = 0 |
| 140 | |
| 141 | table = EstimationTable() |
| 142 | table.append(_make_entry(100, 5000, 0.01, properties={EXTRA: 99})) |
| 143 | |
| 144 | # Insert between qubits and runtime (index 1) |
| 145 | table.insert_column(1, "extra", lambda e: e.properties[EXTRA]) |
| 146 | |
| 147 | frame = table.as_frame() |
| 148 | assert list(frame.columns) == ["qubits", "extra", "runtime", "error"] |
| 149 | assert frame["extra"][0] == 99 |
| 150 | |
| 151 | |
| 152 | def test_estimation_table_insert_column_at_end(): |
| 153 | """Test inserting a column at the end (same effect as add_column).""" |
| 154 | LAST = 0 |
| 155 | |
| 156 | table = EstimationTable() |
| 157 | table.append(_make_entry(100, 5000, 0.01, properties={LAST: True})) |
| 158 | |
| 159 | # 3 default columns, inserting at index 3 = end |
| 160 | table.insert_column(3, "last", lambda e: e.properties[LAST]) |
| 161 | |
| 162 | frame = table.as_frame() |
| 163 | assert list(frame.columns) == ["qubits", "runtime", "error", "last"] |
| 164 | assert frame["last"][0] |
| 165 | |
| 166 | |
| 167 | def test_estimation_table_insert_column_with_formatter(): |
| 168 | """Test inserting a column with a formatter.""" |
| 169 | NS = 0 |
| 170 | |
| 171 | table = EstimationTable() |
| 172 | table.append(_make_entry(100, 5000, 0.01, properties={NS: 2000})) |
| 173 | |
| 174 | table.insert_column( |
| 175 | 0, |
| 176 | "custom_time", |
| 177 | lambda e: e.properties[NS], |
| 178 | formatter=lambda x: pd.Timedelta(x, unit="ns"), |
| 179 | ) |
| 180 | |
| 181 | frame = table.as_frame() |
| 182 | assert frame["custom_time"][0] == pd.Timedelta(2000, unit="ns") |
| 183 | assert list(frame.columns)[0] == "custom_time" |
| 184 | |
| 185 | |
| 186 | def test_estimation_table_insert_and_add_columns(): |
| 187 | """Test combining insert_column and add_column.""" |
| 188 | A = 0 |
| 189 | B = 0 |
| 190 | |
| 191 | table = EstimationTable() |
| 192 | table.append(_make_entry(100, 5000, 0.01, properties={A: 1, B: 2})) |
| 193 | |
| 194 | table.add_column("b", lambda e: e.properties[B]) |
| 195 | table.insert_column(0, "a", lambda e: e.properties[A]) |
| 196 | |
| 197 | frame = table.as_frame() |
| 198 | assert list(frame.columns) == ["a", "qubits", "runtime", "error", "b"] |
| 199 | |
| 200 | |
| 201 | def test_estimation_table_factory_summary_no_factories(): |
| 202 | """Test factory summary column when entries have no factories.""" |
| 203 | table = EstimationTable() |
| 204 | table.append(_make_entry(100, 5000, 0.01)) |
| 205 | |
| 206 | table.add_factory_summary_column() |
| 207 | |
| 208 | frame = table.as_frame() |
| 209 | assert "factories" in frame.columns |
| 210 | assert frame["factories"][0] == "None" |
| 211 | |
| 212 | |
| 213 | def test_estimation_table_factory_summary_with_estimation(): |
| 214 | """Test factory summary column with real estimation results.""" |
| 215 | code = """ |
| 216 | { |
| 217 | use (a, b, c) = (Qubit(), Qubit(), Qubit()); |
| 218 | T(a); |
| 219 | CCNOT(a, b, c); |
| 220 | Rz(1.2345, a); |
| 221 | } |
| 222 | """ |
| 223 | app = QSharpApplication(code) |
| 224 | arch = GateBased(gate_time=50, measurement_time=100) |
| 225 | results = estimate( |
| 226 | app, |
| 227 | arch, |
| 228 | SurfaceCode.q() * ExampleFactory.q(), |
| 229 | PSSPC.q() * LatticeSurgery.q(), |
| 230 | max_error=0.5, |
| 231 | ) |
| 232 | |
| 233 | assert len(results) >= 1 |
| 234 | |
| 235 | results.add_factory_summary_column() |
| 236 | frame = results.as_frame() |
| 237 | |
| 238 | assert "factories" in frame.columns |
| 239 | # Each result should mention T in the factory summary |
| 240 | for val in frame["factories"]: |
| 241 | assert "T" in val |
| 242 | |
| 243 | |
| 244 | def test_estimation_table_add_column_from_source(): |
| 245 | """Test adding a column that accesses the InstructionSource (like distance).""" |
| 246 | code = """ |
| 247 | { |
| 248 | use (a, b, c) = (Qubit(), Qubit(), Qubit()); |
| 249 | T(a); |
| 250 | CCNOT(a, b, c); |
| 251 | Rz(1.2345, a); |
| 252 | } |
| 253 | """ |
| 254 | app = QSharpApplication(code) |
| 255 | arch = GateBased(gate_time=50, measurement_time=100) |
| 256 | results = estimate( |
| 257 | app, |
| 258 | arch, |
| 259 | SurfaceCode.q() * ExampleFactory.q(), |
| 260 | PSSPC.q() * LatticeSurgery.q(), |
| 261 | max_error=0.5, |
| 262 | ) |
| 263 | |
| 264 | assert len(results) >= 1 |
| 265 | |
| 266 | results.add_column( |
| 267 | "compute_distance", |
| 268 | lambda entry: entry.source[LATTICE_SURGERY].instruction[DISTANCE], |
| 269 | ) |
| 270 | |
| 271 | frame = results.as_frame() |
| 272 | assert "compute_distance" in frame.columns |
| 273 | for d in frame["compute_distance"]: |
| 274 | assert isinstance(d, int) |
| 275 | assert d >= 3 |
| 276 | |
| 277 | |
| 278 | def test_estimation_table_add_column_from_properties(): |
| 279 | """Test adding columns that access trace properties from estimation.""" |
| 280 | code = """ |
| 281 | { |
| 282 | use (a, b, c) = (Qubit(), Qubit(), Qubit()); |
| 283 | T(a); |
| 284 | CCNOT(a, b, c); |
| 285 | Rz(1.2345, a); |
| 286 | } |
| 287 | """ |
| 288 | app = QSharpApplication(code) |
| 289 | arch = GateBased(gate_time=50, measurement_time=100) |
| 290 | results = estimate( |
| 291 | app, |
| 292 | arch, |
| 293 | SurfaceCode.q() * ExampleFactory.q(), |
| 294 | PSSPC.q() * LatticeSurgery.q(), |
| 295 | max_error=0.5, |
| 296 | ) |
| 297 | |
| 298 | assert len(results) >= 1 |
| 299 | |
| 300 | results.add_column( |
| 301 | "num_ts_per_rotation", |
| 302 | lambda entry: entry.properties[NUM_TS_PER_ROTATION], |
| 303 | ) |
| 304 | |
| 305 | frame = results.as_frame() |
| 306 | assert "num_ts_per_rotation" in frame.columns |
| 307 | for val in frame["num_ts_per_rotation"]: |
| 308 | assert isinstance(val, int) |
| 309 | assert val >= 1 |
| 310 | |
| 311 | |
| 312 | def test_estimation_table_insert_column_before_defaults(): |
| 313 | """Test inserting a name column before all default columns, similar to the factoring notebook.""" |
| 314 | code = """ |
| 315 | { |
| 316 | use (a, b, c) = (Qubit(), Qubit(), Qubit()); |
| 317 | T(a); |
| 318 | CCNOT(a, b, c); |
| 319 | Rz(1.2345, a); |
| 320 | } |
| 321 | """ |
| 322 | app = QSharpApplication(code) |
| 323 | arch = GateBased(gate_time=50, measurement_time=100) |
| 324 | results = estimate( |
| 325 | app, |
| 326 | arch, |
| 327 | SurfaceCode.q() * ExampleFactory.q(), |
| 328 | PSSPC.q() * LatticeSurgery.q(), |
| 329 | max_error=0.5, |
| 330 | name="test_experiment", |
| 331 | ) |
| 332 | |
| 333 | assert len(results) >= 1 |
| 334 | |
| 335 | # Add a factory summary at the end |
| 336 | results.add_factory_summary_column() |
| 337 | |
| 338 | frame = results.as_frame() |
| 339 | assert frame.columns[0] == "name" |
| 340 | assert frame.columns[-1] == "factories" |
| 341 | # Default columns should still be in order |
| 342 | assert list(frame.columns[1:4]) == ["qubits", "runtime", "error"] |
| 343 | |
| 344 | |
| 345 | def test_estimation_table_as_frame_sortable(): |
| 346 | """Test that the DataFrame from as_frame can be sorted, as done in the factoring tests.""" |
| 347 | table = EstimationTable() |
| 348 | table.append(_make_entry(300, 15000, 0.03)) |
| 349 | table.append(_make_entry(100, 5000, 0.01)) |
| 350 | table.append(_make_entry(200, 10000, 0.02)) |
| 351 | |
| 352 | frame = table.as_frame() |
| 353 | sorted_frame = frame.sort_values(by=["qubits", "runtime"]).reset_index(drop=True) |
| 354 | |
| 355 | assert list(sorted_frame["qubits"]) == [100, 200, 300] |
| 356 | assert list(sorted_frame["error"]) == [0.01, 0.02, 0.03] |
| 357 | |
| 358 | |
| 359 | def test_estimation_table_computed_column(): |
| 360 | """Test adding a column that computes a derived value from the entry.""" |
| 361 | table = EstimationTable() |
| 362 | table.append(_make_entry(100, 5_000_000, 0.01)) |
| 363 | table.append(_make_entry(200, 10_000_000, 0.02)) |
| 364 | |
| 365 | # Compute qubits * error as a derived metric |
| 366 | table.add_column("qubit_error_product", lambda e: e.qubits * e.error) |
| 367 | |
| 368 | frame = table.as_frame() |
| 369 | assert frame["qubit_error_product"][0] == pytest.approx(1.0) |
| 370 | assert frame["qubit_error_product"][1] == pytest.approx(4.0) |
| 371 | |