qgd_Generative_Quantum_Machine_Learning_Base.py File Reference

#!/usr/bin/env python3 -*- coding: utf-8 -*- More...

Go to the source code of this file.

Classes
class	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.qgd_Generative_Quantum_Machine_Learning_Base
	A QGD Python interface class for solvin generative quantum machine learning problems. More...

Namespaces
	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base

Functions
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.__init__ (self, x_bitstrings, p_stars, sigma, qbit_num, use_lookup_table, cliques, use_exact, config)
	Constructor of the class. More...
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.apply_to (self, parameters_mtx, state_to_be_transformed)
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.Generate_Circuit (self, layers, inner_blocks=1)
	Call to generate the circuit ansatz. More...
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.get_Circuit (self)
	Call to retrieve the incorporated quantum circuit (Squander format) More...
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.get_Optimized_Parameters (self)
	Call to get the optimized parameters set in numpy array. More...
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.get_Parameter_Num (self)
	Call to get the number of free parameters in the gate structure used for the decomposition. More...
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.get_Qbit_Num (self)
	Call to get the number of qubits in the circuit. More...
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.get_Qiskit_Circuit (self)
	Export the unitary decomposition into Qiskit format. More...
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.get_Second_Renyi_Entropy (self, parameters=None, input_state=None, qubit_list=None)
	Call to get the second Rényi entropy. More...
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.Optimization_Problem (self, parameters)
	Call to evaluate the MMD between our and the goal distribution. More...
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.set_Ansatz (self, ansatz_new)
	Call to set the ansatz type. More...
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.set_Gate_Structure (self, Gate_structure)
	Call to set custom gate structure to used in the decomposition. More...
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.set_Gate_Structure_from_Binary (self, filename)
	Call to set custom layers to the gate structure that are intended to be used in the decomposition from a binary file created from SQUANDER. More...
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.set_Initial_State (self, initial_state)
	Call to get the number of free parameters in the gate structure used for the decomposition. More...
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.set_Optimization_Tolerance (self, tolerance)
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.set_Optimized_Parameters (self, new_params)
	Call to set the parameters which are used as a starting point in the optimization. More...
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.set_Optimizer (self, alg)
	Call to set the optimizer used in the GQML process. More...
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.set_Project_Name (self, project_name)
	Call to set the name of the SQUANDER project. More...
def	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.Start_Optimization (self)
	Call to start solving the GQML problem. More...

Variables
	squander.VQA.qgd_Generative_Quantum_Machine_Learning_Base.qbit_num

Detailed Description

#!/usr/bin/env python3 -*- coding: utf-8 -*-

A QGD Python interface class for solvin generative quantum machine learning problems.

Definition in file qgd_Generative_Quantum_Machine_Learning_Base.py.