NN.h

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/*
Created on Fri Jun 26 14:13:26 2020
Copyright 2020 Peter Rakyta, Ph.D.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

@author: Peter Rakyta, Ph.D.
*/
#ifndef NN_H
#define NN_H

#include "matrix.h"
#include "matrix_real.h"

#include <time.h>
#include <stdlib.h>
#include <random>

#include "Gates_block.h"
#include "CZ.h"
#include "CH.h"
#include "CNOT.h"
#include "U3.h"
#include "RX.h"
#include "X.h"
#include "SX.h"
#include "RY.h"
#include "CRY.h"
#include "RZ.h"
#include "SYC.h"
#include "UN.h"
#include "ON.h"
#include "Adaptive.h"
#include "Composite.h"
#include <map>
#include <cstdlib>
#include <time.h>
#include <ctime>
#include <tbb/cache_aligned_allocator.h>




class NN {


public:
  
    int tt;

protected:


    std::random_device rd;  
    std::mt19937 gen; 
    std::vector<matrix_base<int>> topology;
    int num_threads;




public:

NN();


NN( std::vector<matrix_base<int>> topology_in );



void create_randomized_parameters( int num_of_parameters, int qbit_num, int levels, Matrix_real& parameters, matrix_base<int8_t>& nontrivial_adaptive_layers );


void get_nn_chanels_from_kernel( Matrix& kernel_up, Matrix& kernel_down, Matrix_real& chanels);

void get_nn_chanels( const Matrix& Umtx, const int& target_qbit, Matrix_real& chanels);

void get_nn_chanels( int qbit_num, const Matrix& Umtx, Matrix_real& chanels);

void get_nn_chanels(int qbit_num, int levels, Matrix_real& chanels, matrix_base<int8_t>& nontrivial_adaptive_layers);


void get_nn_chanels(int qbit_num, int levels, int samples_num, Matrix_real& chanels, matrix_base<int8_t>& nontrivial_adaptive_layers);

};

#endif //NN