mirror of https://github.com/Qiskit/qiskit.git
71 lines
2.1 KiB
Python
71 lines
2.1 KiB
Python
# This code is part of Qiskit.
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#
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# (C) Copyright IBM 2017, 2019.
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#
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# This code is licensed under the Apache License, Version 2.0. You may
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# obtain a copy of this license in the LICENSE.txt file in the root directory
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# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
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#
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# Any modifications or derivative works of this code must retain this
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# copyright notice, and modified files need to carry a notice indicating
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# that they have been altered from the originals.
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"""NumTensorFactors pass testing"""
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import unittest
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from qiskit import QuantumCircuit, QuantumRegister
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from qiskit.converters import circuit_to_dag
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from qiskit.transpiler.passes import NumTensorFactors
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from test import QiskitTestCase # pylint: disable=wrong-import-order
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class TestNumTensorsFactorPass(QiskitTestCase):
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"""Tests for NumTensorFactors analysis methods."""
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def test_empty_dag(self):
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"""Empty DAG has 0 number of tensor factors."""
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circuit = QuantumCircuit()
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dag = circuit_to_dag(circuit)
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pass_ = NumTensorFactors()
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_ = pass_.run(dag)
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self.assertEqual(pass_.property_set["num_tensor_factors"], 0)
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def test_just_qubits(self):
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"""A dag with 8 operations and 1 tensor factor."""
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qr = QuantumRegister(2)
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circuit = QuantumCircuit(qr)
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circuit.h(qr[0])
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circuit.h(qr[1])
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circuit.cx(qr[0], qr[1])
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circuit.cx(qr[0], qr[1])
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circuit.cx(qr[0], qr[1])
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circuit.cx(qr[0], qr[1])
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circuit.cx(qr[1], qr[0])
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circuit.cx(qr[1], qr[0])
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dag = circuit_to_dag(circuit)
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pass_ = NumTensorFactors()
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_ = pass_.run(dag)
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self.assertEqual(pass_.property_set["num_tensor_factors"], 1)
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def test_depth_one(self):
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"""A dag with operations in parallel (2 tensor factors)"""
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qr = QuantumRegister(2)
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circuit = QuantumCircuit(qr)
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circuit.h(qr[0])
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circuit.h(qr[1])
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dag = circuit_to_dag(circuit)
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pass_ = NumTensorFactors()
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_ = pass_.run(dag)
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self.assertEqual(pass_.property_set["num_tensor_factors"], 2)
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if __name__ == "__main__":
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unittest.main()
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