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["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] [extras] qinfo = [] diff --git a/pyproject.toml b/pyproject.toml index 881b2f8b4c..d9d231acb6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -84,6 +84,7 @@ docs-clean = "make -C doc clean" test-docs = "make -C doc doctest" + [tool.poetry.group.cuda11] optional = true @@ -93,6 +94,7 @@ cuquantum-python-cu11 = "^23.3.0" qibojit = { git = "https://github.com/qiboteam/qibojit.git" } qibotn = { git = "https://github.com/qiboteam/qibotn.git" } + [tool.poetry.group.cuda12] optional = true diff --git a/src/qibo/models/dbi/double_bracket.py b/src/qibo/models/dbi/double_bracket.py index 4e1150df6f..e2f8d9b7f2 100644 --- a/src/qibo/models/dbi/double_bracket.py +++ b/src/qibo/models/dbi/double_bracket.py @@ -105,29 +105,60 @@ def __init__( def __call__( self, step: float, mode: DoubleBracketGeneratorType = None, d: np.array = None ): - """Performs one double bracket rotation.""" + r"""We use convention that $H' = U^\dagger H U$ where $U=e^{-sW}$ with $W=[D,H]$ + (or depending on `mode` an approximation, see `eval_dbr_unitary`). + If $s>0$ then for $D = \Delta(H)$ the GWW DBR will give a $\sigma$-decrease, + see https://arxiv.org/abs/2206.11772.""" + + operator = self.eval_dbr_unitary(step, mode, d) + operator_dagger = self.backend.cast( + np.array(np.matrix(self.backend.to_numpy(operator)).getH()) + ) + self.h.matrix = operator_dagger @ self.h.matrix @ operator + return operator + + def eval_dbr_unitary( + self, + step: float, + mode: DoubleBracketGeneratorType = None, + d: np.array = None, + ): + """In call we are working in the convention that $H' = U^\\dagger H + U$ where $U=e^{-sW}$ with $W=[D,H]$ or an approximation of that by a group commutator. + That is handy because if we switch from the DBI in the Heisenberg picture for the + Hamiltonian, we get that the transformation of the state is $|\\psi'\rangle = U |\\psi\rangle$ + so that $\\langle H\rangle_{\\psi'} = \\langle H' \rangle_\\psi$ (i.e. when writing the unitary + acting on the state dagger notation is avoided). + The group commutator must approximate $U=e^{-s[D,H]}$. This is achieved by setting $r = \\sqrt{s}$ so that + $$V = e^{-irH}e^{irD}e^{irH}e^{-irD}$$ + because + $$e^{-irH}De^{irH} = D+ir[D,H]+O(r^2)$$ + so + $$V\approx e^{irD +i^2 r^2[D,H] + O(r^2) -irD} \approx U\\ .$$ + See the app in https://arxiv.org/abs/2206.11772 for a derivation. + """ if mode is None: mode = self.mode if mode is DoubleBracketGeneratorType.canonical: operator = self.backend.calculate_matrix_exp( - 1.0j * step, + -1.0j * step, self.commutator(self.diagonal_h_matrix, self.h.matrix), ) elif mode is DoubleBracketGeneratorType.single_commutator: if d is None: d = self.diagonal_h_matrix operator = self.backend.calculate_matrix_exp( - 1.0j * step, + -1.0j * step, self.commutator(self.backend.cast(d), self.h.matrix), ) elif mode is DoubleBracketGeneratorType.group_commutator: if d is None: d = self.diagonal_h_matrix operator = ( - self.h.exp(-step) + self.h.exp(step) @ self.backend.calculate_matrix_exp(-step, d) - @ self.h.exp(step) + @ self.h.exp(-step) @ self.backend.calculate_matrix_exp(step, d) ) elif mode is DoubleBracketGeneratorType.group_commutator_third_order: @@ -141,11 +172,20 @@ def __call__( @ self.h.exp(-step * (3 - np.sqrt(5)) / 2) @ self.backend.calculate_matrix_exp(-step, d) ) - operator_dagger = self.backend.cast( - np.array(np.matrix(self.backend.to_numpy(operator)).getH()) - ) + operator = ( + self.backend.calculate_matrix_exp(step, d) + @ self.h.exp(step * (3 - np.sqrt(5)) / 2) + @ self.backend.calculate_matrix_exp(-step * (np.sqrt(5) + 1) / 2, d) + @ self.h.exp(-step) + @ self.backend.calculate_matrix_exp(step * (np.sqrt(5) - 1) / 2, d) + @ self.h.exp(step * (np.sqrt(5) - 1) / 2) + ) + else: + raise NotImplementedError( + f"The mode {mode} is not supported" + ) # pragma: no cover - self.h.matrix = operator @ self.h.matrix @ operator_dagger + return operator @staticmethod def commutator(a, b): diff --git a/src/qibo/models/variational.py b/src/qibo/models/variational.py index 8ec93b2cbb..aeeaa6352c 100644 --- a/src/qibo/models/variational.py +++ b/src/qibo/models/variational.py @@ -96,7 +96,6 @@ def minimize( loss = lambda p, c, h: dtype(loss_func(p, c, h)) elif method != "sgd": loss = lambda p, c, h: self.hamiltonian.backend.to_numpy(loss_func(p, c, h)) - result, parameters, extra = self.optimizers.optimize( loss, initial_state, diff --git a/src/qibo/quantum_info/entropies.py b/src/qibo/quantum_info/entropies.py index 3d4e7ac027..d6499e15dc 100644 --- a/src/qibo/quantum_info/entropies.py +++ b/src/qibo/quantum_info/entropies.py @@ -461,7 +461,7 @@ def von_neumann_entropy( if purity(state) == 1.0: if return_spectrum: - return 0.0, backend.cast([1.0], dtype=float) + return 0.0, backend.cast([0.0], dtype=float) return 0.0 diff --git a/src/qibo/transpiler/decompositions.py b/src/qibo/transpiler/decompositions.py index 33ab35b56b..bae39e38bd 100644 --- a/src/qibo/transpiler/decompositions.py +++ b/src/qibo/transpiler/decompositions.py @@ -466,3 +466,23 @@ def _u3_to_gpi2(t, p, l): gates.ECR, [gates.S(0), gates.SX(1), gates.CNOT(0, 1), gates.X(0)] ) standard_decompositions.add(gates.CCZ, [gates.H(2), gates.TOFFOLI(0, 1, 2), gates.H(2)]) +standard_decompositions.add( + gates.TOFFOLI, + [ + gates.H(2), + gates.CNOT(1, 2), + gates.TDG(2), + gates.CNOT(0, 2), + gates.T(2), + gates.CNOT(1, 2), + gates.T(1), + gates.TDG(2), + gates.CNOT(0, 2), + gates.CNOT(0, 1), + gates.T(2), + gates.T(0), + gates.TDG(1), + gates.H(2), + gates.CNOT(0, 1), + ], +) diff --git a/src/qibo/transpiler/pipeline.py b/src/qibo/transpiler/pipeline.py index 7d9b68e130..04c1072d0a 100644 --- a/src/qibo/transpiler/pipeline.py +++ b/src/qibo/transpiler/pipeline.py @@ -225,7 +225,7 @@ def __call__(self, circuit): physical (keys) to logical (values) qubit. If `int_qubit_name` is `True` each key `i` correspond to the `i-th` qubit in the graph. """ - final_layout = self.initial_layout + self.initial_layout = None for transpiler_pass in self.passes: if isinstance(transpiler_pass, Optimizer): transpiler_pass.connectivity = self.connectivity @@ -234,6 +234,9 @@ def __call__(self, circuit): transpiler_pass.connectivity = self.connectivity if self.initial_layout == None: self.initial_layout = transpiler_pass(circuit) + final_layout = ( + self.initial_layout + ) # This way the final layout will be the same as the initial layout if no router is used else: raise_error( TranspilerPipelineError, diff --git a/tests/test_callbacks.py b/tests/test_callbacks.py index 5ff73f66a5..bf2ac7d2d0 100644 --- a/tests/test_callbacks.py +++ b/tests/test_callbacks.py @@ -97,7 +97,7 @@ def test_entropy_in_circuit(backend, density_matrix, base): values = [backend.to_numpy(x) for x in entropy] backend.assert_allclose(values, target, atol=PRECISION_TOL) - target_spectrum = [1.0] + list([0, 0, np.log(2), np.log(2)] / np.log(base)) + target_spectrum = [0.0] + list([0, 0, np.log(2), np.log(2)] / np.log(base)) entropy_spectrum = np.ravel(np.concatenate(entropy.spectrum)).tolist() backend.assert_allclose(entropy_spectrum, target_spectrum, atol=PRECISION_TOL) diff --git a/tests/test_cirq.py b/tests/test_cirq.py index 636581656d..8ff8498d7a 100644 --- a/tests/test_cirq.py +++ b/tests/test_cirq.py @@ -4,8 +4,9 @@ import numpy as np import pytest -from qibo import gates, models +from qibo import Circuit, gates, matrices from qibo.backends import NumpyBackend +from qibo.models import QFT from qibo.quantum_info import random_statevector, random_unitary numpy_backend = NumpyBackend() @@ -54,7 +55,7 @@ def assert_gates_equivalent( if ndevices is not None: accelerators = {"/GPU:0": ndevices} - c = models.Circuit(nqubits, accelerators) + c = Circuit(nqubits, accelerators) c.add(qibo_gate) assert c.depth == target_depth if accelerators and not backend.supports_multigpu: @@ -307,7 +308,7 @@ def test_unitary_matrix_gate_controlled_by(backend, nqubits, ntargets, ndevices) @pytest.mark.parametrize("nqubits", [5, 6, 7, 11, 12]) def test_qft(backend, accelerators, nqubits): - c = models.QFT(nqubits, accelerators=accelerators) + c = QFT(nqubits, accelerators=accelerators) initial_state = random_statevector(2**nqubits, backend=numpy_backend) final_state = backend.execute_circuit(c, np.copy(initial_state)).state() final_state = backend.cast(final_state, dtype=final_state.dtype) diff --git a/tests/test_gates_gates.py b/tests/test_gates_gates.py index 3246413c31..2b2ae20973 100644 --- a/tests/test_gates_gates.py +++ b/tests/test_gates_gates.py @@ -6,6 +6,7 @@ from qibo import Circuit, gates, matrices from qibo.parameter import Parameter from qibo.quantum_info import random_hermitian, random_statevector, random_unitary +from qibo.transpiler.decompositions import standard_decompositions def apply_gates(backend, gatelist, nqubits=None, initial_state=None): @@ -1205,6 +1206,13 @@ def test_toffoli(backend, applyx): assert not gates.TOFFOLI(0, 1, 2).clifford assert gates.TOFFOLI(0, 1, 2).unitary + # test decomposition + decomposition = Circuit(3) + decomposition.add(standard_decompositions(gates.TOFFOLI(0, 1, 2))) + decomposition = decomposition.unitary(backend) + + backend.assert_allclose(decomposition, backend.cast(matrices.TOFFOLI), atol=1e-10) + def test_ccz(backend): nqubits = 3