duration and num qubits constrained searches

azure-quantum/azure/quantum/target/microsoft/target.py

@@ -45,13 +45,17 @@ def _check_error_rate_or_process_and_readout(name, value):
         raise ValueError(f"{name} must be either a float or "
                          "MeasurementErrorRate with two fields: 'process' and 'readout'")
 
+def check_time(name, value):
+    pat = r"^(\+?[0-9]*\.?[0-9]+([eE][-+]?[0-9]+)?)\s*(s|ms|μs|µs|us|ns)$"
+    if re.match(pat, value) is None:
+        raise ValueError(f"{name} is not a valid time string; use a "
+                         "suffix s, ms, us, or ns")
 
 @dataclass
 class MeasurementErrorRate(AutoValidatingParams):
     process: float = field(metadata={"validate": _check_error_rate})
     readout: float = field(metadata={"validate": _check_error_rate})
 
-
 @dataclass
 class MicrosoftEstimatorQubitParams(AutoValidatingParams):
     @staticmethod
@@ -60,12 +64,6 @@ def check_instruction_set(name, value):
                          "Majorana", "majorana"]:
             raise ValueError(f"{name} must be GateBased or Majorana")
 
-    @staticmethod
-    def check_time(name, value):
-        pat = r"^(\+?[0-9]*\.?[0-9]+([eE][-+]?[0-9]+)?)\s*(s|ms|μs|µs|us|ns)$"
-        if re.match(pat, value) is None:
-            raise ValueError(f"{name} is not a valid time string; use a "
-                             "suffix s, ms, us, or ns")
     name: Optional[str] = None
     instruction_set: Optional[str] = validating_field(check_instruction_set)
     one_qubit_measurement_time: Optional[str] = validating_field(check_time)
@@ -259,6 +257,12 @@ def at_least_one(name, value):
 
     logical_depth_factor: Optional[float] = validating_field(at_least_one)
     max_t_factories: Optional[int] = validating_field(at_least_one)
+    max_duration: Optional[int] = validating_field(check_time)
+    max_physical_qubits: Optional[int] = validating_field(at_least_one)
+
+    def post_validation(self, result):
+        if self.max_duration is not None and self.max_physical_qubits is not None:
+            raise LookupError("Both duration and number of physical qubits constraints are provided, but only one is allowe at a time.")
 
 
 @dataclass

azure-quantum/tests/unit/test_microsoft_qc.py

@@ -6,7 +6,7 @@
 from pytest import raises
 from os import path
 import re
-from azure.quantum.target.microsoft.target import DistillationUnitSpecification, ProtocolSpecificDistillationUnitSpecification, MeasurementErrorRate
+from azure.quantum.target.microsoft.target import DistillationUnitSpecification, MicrosoftEstimatorConstraints, ProtocolSpecificDistillationUnitSpecification, MeasurementErrorRate
 
 from common import QuantumTestBase, DEFAULT_TIMEOUT_SECS
 
@@ -79,7 +79,7 @@ def test_estimator_batching_job(self):
         estimator = MicrosoftEstimator(ws)
 
         ccnot = self._ccnot_bitcode()
-        params = estimator.make_params(num_items=2)
+        params = estimator.make_params(num_items=3)
         params.items[0].error_budget = 0.001
 
         params.items[0].qubit_params.name = QubitParams.MAJ_NS_E4
@@ -116,6 +116,11 @@ def test_estimator_batching_job(self):
         params.items[0].distillation_unit_specifications = [specification1, specification2, specification3]
 
         params.items[1].error_budget = 0.002
+        params.items[1].constraints.max_duration = "20s"
+
+        params.items[2].error_budget = 0.003
+        params.items[2].constraints.max_physical_qubits = 10000
+
         job = estimator.submit(ccnot, input_params=params)
         self.assertIsInstance(job, MicrosoftEstimatorJob)
         job.wait_until_completed(timeout_secs=DEFAULT_TIMEOUT_SECS)
@@ -491,3 +496,10 @@ def test_batch_result_as_json(self):
 
         import json
         assert json.loads(result.json) == data
+
+    def test_duration_and_physical_qubits_constraints_not_allowed_together(self):
+        constraints = MicrosoftEstimatorConstraints()
+        constraints.max_physical_qubits = 100
+        constraints.max_duration = "5s"
+        with raises(LookupError, match="Both duration and number of physical qubits constraints are provided, but only one is allowe at a time."):
+            constraints.as_dict()