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此源代码用于实现<https://arxiv.org abs 1807.01852>中提出的算法 |
上一篇：httpsarxiv.org abs 1802.09022中算法的实现 下一篇：模拟退火算法源码及相关论文，代码有详细注释，配以论... | ||
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current_path$-->1_qubits-->Data-->"Experiment_1.mat"-->"Experiment_2.mat"-->...etc.-->Results-->1_nShots-->2_nShots...etc.-->2_qubits-->Data-->"Experiment_1.mat"-->"Experiment_2.mat"-->...etc.-->Results-->1_nShots-->2_nShots...etc.....etc. The "Results" folder will be empty, but wll be filled later by the script "Dataset_Processor.m" -- Datset_Processor.m: This file defines the function that processes the dataset by performing quantum state estimation for each true state given a particular scenario (qubit number / number of measurement shots). Three estimators are used: Matrix Exponentiated Gradient, Diluted Maximum Likelihood, and Least-squares. The infidelity between the estimate at each iteration and the true state is calculated. The results are stored in a .MAT file that includes the following records:* The MEG estimator object after finishing all iterations* The ML estimator object after finishing all iterations* The LS estimator object after finishing all iterations* The infidelity record for the MEG estimator* The infidelity record for the ML estimator* The infidelity record for the LS estimator -- Datset_Postrocessor.m: This script generates the plots corresponding to the results obtained by running the script "Dataset_Processor.m". For each possible scenario (number of qubits/number of shots), the generated plots are the average infidelity versus number of iterations for each estimatoras well as the interquartile range plot for the average infdelity versus number of iterations for each estimator. The plots are then exported as .PNG and .EPS formats. -- Example.m: This script is an example of generating the dataset and processing it to produce the results -- OnlineEstimator.m: This file contains the definition of the base class of from which the other estimator classes are derived from. -- ML_Estimator.m: This file contains the class definition of the diluted maximum likelihood estimator. -- MEG_Estimator.m: This file contains the class definition of the Matrix exponentiated gradient estimator. -- LS_Estimator.m: This file contains the class definition of the least-squares estimator. --Generate_Projectors.m: This file contains the definition of the function that generates global Pauli operators acting on qubit systems of anynumber of qubits, by tensoring local Pauli operators on individual qubits. Since all local Pauli's have two outcome "up/down" correpsonding to the+1/-1 eigenvalues, the global operators will have the same property. So, this function returns the two global projectors for "up/down" outcomes. 