# SOME DESCRIPTIVE TITLE. # Copyright (C) 2022, Baidu Inc # This file is distributed under the same license as the paddle-quantum # package. # FIRST AUTHOR , 2022. # #, fuzzy msgid "" msgstr "" "Project-Id-Version: paddle-quantum \n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2022-05-17 11:08+0800\n" "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n" "Last-Translator: FULL NAME \n" "Language-Team: LANGUAGE \n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=utf-8\n" "Content-Transfer-Encoding: 8bit\n" "Generated-By: Babel 2.10.1\n" #: ../../source/paddle_quantum.fisher.rst:2 msgid "paddle\\_quantum.fisher" msgstr "" #: of paddle_quantum.fisher:1 msgid "The source file of the class for the fisher information." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher:1 #: paddle_quantum.fisher.QuantumFisher:1 msgid "Bases: :py:class:`object`" msgstr "" #: of paddle_quantum.fisher.QuantumFisher:1 msgid "Quantum fisher information (QFI) & related calculators." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher #: paddle_quantum.fisher.ClassicalFisher.get_cfisher #: paddle_quantum.fisher.ClassicalFisher.get_eff_dim #: paddle_quantum.fisher.ClassicalFisher.get_gradient #: paddle_quantum.fisher.QuantumFisher #: paddle_quantum.fisher.QuantumFisher.get_eff_qdim #: paddle_quantum.fisher.QuantumFisher.get_qfisher_norm #: paddle_quantum.fisher.QuantumFisher.get_qfisher_rank msgid "Parameters" msgstr "" #: of paddle_quantum.fisher.QuantumFisher:3 msgid "" "Parameterized quantum circuits requiring calculation of quantum Fisher " "information." msgstr "" #: of paddle_quantum.fisher.QuantumFisher:5 msgid "" "This class does not fit the situation when parameters among gates are " "correlated, such as control-gates." msgstr "" #: of paddle_quantum.fisher.QuantumFisher.get_qfisher_matrix:1 msgid "Use parameter shift rule of order 2 to calculate the matrix of QFI." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_cfisher #: paddle_quantum.fisher.ClassicalFisher.get_eff_dim #: paddle_quantum.fisher.ClassicalFisher.get_gradient #: paddle_quantum.fisher.ClassicalFisher.get_normalized_cfisher #: paddle_quantum.fisher.QuantumFisher.get_eff_qdim #: paddle_quantum.fisher.QuantumFisher.get_qfisher_matrix #: paddle_quantum.fisher.QuantumFisher.get_qfisher_norm #: paddle_quantum.fisher.QuantumFisher.get_qfisher_rank msgid "Returns" msgstr "" #: of paddle_quantum.fisher.QuantumFisher.get_qfisher_matrix:3 msgid "Matrix of QFI." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_cfisher #: paddle_quantum.fisher.ClassicalFisher.get_eff_dim #: paddle_quantum.fisher.ClassicalFisher.get_gradient #: paddle_quantum.fisher.ClassicalFisher.get_normalized_cfisher #: paddle_quantum.fisher.QuantumFisher.get_eff_qdim #: paddle_quantum.fisher.QuantumFisher.get_qfisher_matrix #: paddle_quantum.fisher.QuantumFisher.get_qfisher_norm #: paddle_quantum.fisher.QuantumFisher.get_qfisher_rank msgid "Return type" msgstr "" #: of paddle_quantum.fisher.QuantumFisher.get_qfisher_norm:1 msgid "" "Use finite difference rule to calculate the projection norm of QFI along " "particular direction." msgstr "" #: of paddle_quantum.fisher.QuantumFisher.get_qfisher_norm:3 msgid "A direction represented by a vector." msgstr "" #: of paddle_quantum.fisher.QuantumFisher.get_qfisher_norm:4 msgid "Step size of the finite difference rule. Defaults to ``0.01``。" msgstr "" #: of paddle_quantum.fisher.QuantumFisher.get_qfisher_norm:6 msgid "Projection norm." msgstr "" #: of paddle_quantum.fisher.QuantumFisher.get_eff_qdim:1 msgid "" "Calculate the effective quantum dimension, i.e. the maximum rank of QFI " "matrix in the whole parameter space." msgstr "" #: of paddle_quantum.fisher.QuantumFisher.get_eff_qdim:3 msgid "Number of samples to estimate the dimension. Defaults to ``4``." msgstr "" #: of paddle_quantum.fisher.QuantumFisher.get_eff_qdim:4 #: paddle_quantum.fisher.QuantumFisher.get_qfisher_rank:3 msgid "" "Minimum tolerance of the singular values to be 0. Defaults to ``None``, " "with the same meaning as in ``numpy.linalg.matrix_rank()``." msgstr "" #: of paddle_quantum.fisher.QuantumFisher.get_eff_qdim:7 msgid "Effective quantum dimension of the quantum circuit." msgstr "" #: of paddle_quantum.fisher.QuantumFisher.get_qfisher_rank:1 msgid "Calculate the rank of the QIF matrix." msgstr "" #: of paddle_quantum.fisher.QuantumFisher.get_qfisher_rank:6 msgid "Rank of the QIF matrix." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher:1 msgid "Classical fisher information (CFI) & related calculators." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher:3 msgid "Instance of the classical or quantum neural network model." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher:4 msgid "Number of the parameter sets." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher:5 msgid "Number of the input samples." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher:6 msgid "Model type is ``'classical'`` or ``'quantum'``. Defaults to ``'quantum'``." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher:7 msgid "" "including - size: list of sizes of classical NN units - num_qubits: " "number of qubits of quantum NN - depth: depth of quantum NN - encoding: " "``IQP`` or ``re-uploading`` encoding of quantum NN" msgstr "" #: of paddle_quantum.fisher.ClassicalFisher msgid "Raises" msgstr "" #: of paddle_quantum.fisher.ClassicalFisher:13 msgid "Unsupported encoding." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher:14 msgid "Unsupported model type." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_gradient:1 msgid "" "Calculate the gradients with respect to the variational parameters of the" " output layer." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_gradient:3 msgid "Input samples." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_gradient:5 msgid "" "Gradient with respect to the variational parameters of the output layer " "with shape [num_inputs, dimension of the output layer, num_thetas]." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_cfisher:1 msgid "Use the Jacobian matrix to calculate the CFI matrix." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_cfisher:3 msgid "Gradients with respect to the variational parameter of the output layer." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_cfisher:5 msgid "" "CFI matrix with shape [num_inputs, dimension of the output layer, " "num_theta]." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_normalized_cfisher:1 msgid "Calculate the normalized CFI matrix." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_normalized_cfisher:3 msgid "" "contains elements - CFI matrix with shape [num_inputs, num_theta, " "num_theta] - its trace" msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_normalized_cfisher:3 msgid "contains elements" msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_normalized_cfisher:5 msgid "CFI matrix with shape [num_inputs, num_theta, num_theta]" msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_normalized_cfisher:6 msgid "its trace" msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_eff_dim:1 msgid "Calculate the classical effective dimension." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_eff_dim:3 msgid "Normalized CFI matrix." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_eff_dim:4 msgid "List of different numbers of samples." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_eff_dim:5 msgid "A parameter in the effective dimension. Defaults to ``1``." msgstr "" #: of paddle_quantum.fisher.ClassicalFisher.get_eff_dim:7 msgid "Classical effective dimensions for different numbers of samples." msgstr ""