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["sqlcipher3_binary"] + [[package]] name = "stack-data" version = "0.6.3" @@ -3404,4 +3607,4 @@ viz = ["pydot"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.12" -content-hash = "878af869bce716692424a4ff967715148795b05aecfddedeab83ae0418a649d4" +content-hash = "fa08557cf0d863f835bea5b1bf5b5a798708c8b60a31f8064954d03a5d6d8f76" diff --git a/pyproject.toml b/pyproject.toml index 49f984644..6b78132a2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -18,7 +18,7 @@ classifiers = [ [tool.poetry.dependencies] python = ">=3.9,<3.12" qibolab = "^0.1.8" -qibo = "^0.2.6" +qibo = "^0.2.12" numpy = "^1.26.4" scipy = "^1.10.1" pandas = { version = "^2.2.2", extras = ["html"] } diff --git a/src/qibocal/protocols/state_tomography.py b/src/qibocal/protocols/state_tomography.py index 70fbcb74e..7085aecd7 100644 --- a/src/qibocal/protocols/state_tomography.py +++ b/src/qibocal/protocols/state_tomography.py @@ -9,7 +9,7 @@ from plotly.subplots import make_subplots from qibo import Circuit, gates from qibo.backends import GlobalBackend, NumpyBackend, matrices -from qibo.quantum_info import fidelity +from qibo.quantum_info import fidelity, partial_trace from qibolab.platform import Platform from qibolab.qubits import QubitId @@ -148,9 +148,7 @@ def _fit(data: StateTomographyData) -> StateTomographyResults: total_density_matrix = NumpyBackend().execute_circuit(circuit=circuit).state() for i, qubit in enumerate(data.targets): traced_qubits = [q for q in range(len(data.qubits)) if q != i] - target_density_matrix = NumpyBackend().partial_trace_density_matrix( - total_density_matrix, traced_qubits, len(data.qubits) - ) + target_density_matrix = partial_trace(total_density_matrix, traced_qubits) x_exp = 1 - 2 * np.mean(data[qubit, "X"].samples) y_exp = 1 - 2 * np.mean(data[qubit, "Y"].samples) z_exp = 1 - 2 * np.mean(data[qubit, "Z"].samples) diff --git a/src/qibocal/protocols/two_qubit_state_tomography.py b/src/qibocal/protocols/two_qubit_state_tomography.py index 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