|
| 1 | +"""Tests for the quantum algorithm base class.""" |
| 2 | + |
| 3 | +import pytest |
| 4 | +from qualtran.resource_counting import GateCounts |
| 5 | +from qualtran.surface_code import AlgorithmSummary, PhysicalCostModel |
| 6 | + |
| 7 | +from quantumthreattracker.algorithms.quantum_algorithm import ( |
| 8 | + CryptParams, |
| 9 | + QuantumAlgorithm, |
| 10 | +) |
| 11 | + |
| 12 | + |
| 13 | +class SampleQuantumAlgorithm(QuantumAlgorithm): |
| 14 | + """Sample instance of the `QuantumAlgorithm` class.""" |
| 15 | + |
| 16 | + def get_algorithm_summary(self) -> AlgorithmSummary: |
| 17 | + """Compute logical resource estimates for the circuit. |
| 18 | +
|
| 19 | + Returns |
| 20 | + ------- |
| 21 | + AlgorithmSummary |
| 22 | + Logical resource estimates. |
| 23 | + """ |
| 24 | + return AlgorithmSummary(n_algo_qubits=1, n_logical_gates=GateCounts(t=1)) |
| 25 | + |
| 26 | + |
| 27 | +@pytest.fixture() |
| 28 | +def default_crypt_params() -> CryptParams: |
| 29 | + """Get a default set of `CryptParams`.""" |
| 30 | + return CryptParams("RSA", 2048) |
| 31 | + |
| 32 | + |
| 33 | +@pytest.fixture() |
| 34 | +def quantum_algorithm(default_crypt_params: CryptParams) -> QuantumAlgorithm: |
| 35 | + """Get a default `QuantumAlgorithm`.""" |
| 36 | + return SampleQuantumAlgorithm(crypt_params=default_crypt_params) |
| 37 | + |
| 38 | + |
| 39 | +def test_setup_crypt_params(quantum_algorithm: QuantumAlgorithm) -> None: |
| 40 | + """Test `_crypt_params` is assigned on `QuantumAlgorithm` initialisation.""" |
| 41 | + assert quantum_algorithm._crypt_params is not None |
| 42 | + |
| 43 | + |
| 44 | +def test_algorithm_summary(quantum_algorithm: QuantumAlgorithm) -> None: |
| 45 | + """Test that an algorithm summary is successfully returned.""" |
| 46 | + assert quantum_algorithm.get_algorithm_summary() is not None |
| 47 | + |
| 48 | + |
| 49 | +def test_resource_estimation_qualtran(quantum_algorithm: QuantumAlgorithm) -> None: |
| 50 | + """Test that physical resource estimation via Qualtran is successful.""" |
| 51 | + assert ( |
| 52 | + quantum_algorithm.estimate_resources_qualtran( |
| 53 | + PhysicalCostModel.make_gidney_fowler(data_d=33) |
| 54 | + ) |
| 55 | + is not None |
| 56 | + ) |
| 57 | + |
| 58 | + |
| 59 | +def test_resource_estimation_azure(quantum_algorithm: QuantumAlgorithm) -> None: |
| 60 | + """Test that physical resource estimation via Azure is successful.""" |
| 61 | + assert ( |
| 62 | + quantum_algorithm.estimate_resources_azure( |
| 63 | + {"qubitParams": {"name": "qubit_gate_ns_e3"}} |
| 64 | + ) |
| 65 | + is not None |
| 66 | + ) |
| 67 | + |
| 68 | + |
| 69 | +def test_magic_state_factories(quantum_algorithm: QuantumAlgorithm) -> None: |
| 70 | + """Test that at least one T factory is present in the resource estimate.""" |
| 71 | + estimator_result = quantum_algorithm.estimate_resources_azure( |
| 72 | + {"qubitParams": {"name": "qubit_gate_ns_e3"}} |
| 73 | + ) |
| 74 | + assert estimator_result["physicalCounts"]["breakdown"]["numTfactories"] >= 1 |
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