55 lines
1.6 KiB
Python
55 lines
1.6 KiB
Python
import copy
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import os
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import config
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import numpy as np
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import pytest
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import qibo
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from qibo.models import QFT
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def create_init_state(nqubits):
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init_state = np.random.random(2**nqubits) + \
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1j * np.random.random(2**nqubits)
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init_state = init_state / np.sqrt((np.abs(init_state) ** 2).sum())
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return init_state
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def qibo_qft(nqubits, init_state, swaps):
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circ_qibo = QFT(nqubits, swaps)
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state_vec = circ_qibo(init_state).state(numpy=True)
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return circ_qibo, state_vec
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@pytest.mark.parametrize("nqubits, tolerance, is_mps",
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[(1, 1e-6, True), (2, 1e-6, False), (5, 1e-3, True), (10, 1e-3, False)])
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def test_eval(nqubits: int, tolerance: float, is_mps: bool):
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# hack quimb to use the correct number of processes
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# TODO: remove completely, or at least delegate to the backend
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# implementation
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os.environ["QUIMB_NUM_PROCS"] = str(os.cpu_count())
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import qibotn.quimb
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init_state = create_init_state(nqubits=nqubits)
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init_state_tn = copy.deepcopy(init_state)
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# Test qibo
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qibo.set_backend(backend=config.qibo.backend,
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platform=config.qibo.platform)
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#qibo_time, (qibo_circ, result_sv) = time(
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#lambda: qibo_qft(nqubits, init_state, swaps=True)
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#)
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qibo_circ, result_sv= qibo_qft(nqubits, init_state, swaps=True)
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# Convert to qasm for other backends
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qasm_circ = qibo_circ.to_qasm()
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# Test quimb
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result_tn = qibotn.quimb.eval(
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qasm_circ, init_state_tn, is_mps, backend=config.quimb.backend
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)
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assert np.allclose(result_sv, result_tn,
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atol=tolerance), "Resulting dense vectors do not match"
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