qubiter.adv_applications.CostMinimizer module

class qubiter.adv_applications.CostMinimizer.CostMinimizer(init_x_val, print_hiatus=1, verbose=False)

Bases: object

This is an abstract class embodying the ideal of a class for minimizing a real valued cost function cost_fun with respect to its N variables x_val.

Variables:

• cur_cost (float) – current cost
• cur_targ_cost (float) – current target cost
• cur_x_val (np.ndarray) – current x value
• init_x_val (np.ndarray) – initial x value
• iter_count (int) – iteration count. An iteration is every time the cost function is called
• print_hiatus (int) – the current values of x_val and cost are printed when iter_count % print_hiatus == 0 iff print_hiatus > 0
• verbose (bool) –

__init__(init_x_val, print_hiatus=1, verbose=False)

Constructor

Parameters:

• init_x_val (np.ndarray) –
• print_hiatus (int) –
• verbose (bool) –

broadcast_cost_fun_call()

This method prints current cost and x_val each time cost function is called. It also prints targ_cost if there is one.

Returns: Return type:None

cost_fun(x_val)

Abstract method. Given x_val, return cost (float).

Parameters:x_val (np.ndarray) – Returns: Return type:float

find_min(interface, **kwargs)

Abstract method. Returns the minimum (float) of the cost function

Parameters:

• interface (str) –
• kwargs (dict) –