Package: qonic-misc
Snyk Vulnerability Reportqonic-misc Python Library:Python library with miscellaneous tools to be used in conjunction with the qonic frameworkTo install:pip3 install qonic_miscIncludes:qonic_misc.RotationConversions:operator_to_updated_state(operator, theta_init, phi_init)Description:this function takes a quantum operator (corresponding to a qbit gate), and the initial qbit state defined by the angles theta and phitheta and phi define the state based on some point on the bloch sphere in spherical coordinatesthe statevector of the qbit is defined as [cos(theta/2),sin(theta/2) e^(i phi)]the function returns the state after being acted on by the gate (in terms of the new theta and phi values)Parameters:operator <type 'list'>: linear, hermitian matrix representing the quantum operatortheta_init <type 'float'>: initial value for the theta component of the quantum state (must be between 0.0 and pi/2)phi_init <type 'float'>: initial value for the phi component of the quantum state (must be between 0.0 and pi/2)Returns:[theta_updated, phi_updated] <type 'list'>: list storing the updated values for theta and phi after being operated on by 'operator'Example:>>> rc = qonic_misc.RotationConversions()
  >>> pauli_z = [[1, 0], [0, -1]] # pauli z gate
  >>> print(rc.operator_to_updated_state(pauli_z, 1, 1)) # operate on the initial state of ['theta': 1, 'phi': 1]
  [-1.0, 1.0]operator_to_rotation(operator, print_optimization_loss=False, epochs=300, num_of_vectors=3)Description:this function takes a quantum operator (corresponding to a qbit gate)the function uses tensorflow to find the spacial rotations along the x, y, and z axes of the bloch sphere that corresponds to the operator acting on a qbit state stateParameters:operator <type 'list'>: linear, hermitian matrix representing the quantum operatorprint_optimization_loss=False <type 'bool'>: boolean value that determines if the function will print out the loss of the tf model as it optimizes to find the spacial rotationsepochs=300 <type: 'int'>: number of epochs that the tf model will optimize fornum_of_vectors=3 <type 'int'>: number of quantum statevectors that the tf model will optimize for (higher means more accurate but slower, lower means less accurate but faster)Returns:[RotX, RotY, RotZ] <type 'list'>: list storing the spacial rotations along each axis corresponding to the passed operatorExample:>>> rc = qonic_misc.RotationConversions()
  >>> pauli_z = [[1, 0], [0, -1]] # pauli z gate
  >>> print(rc.operator_to_rotation(pauli_z)) # solve for the spacial rotation of the pauli z gate
  [0.0, 0.0, 3.14159]qonic_misc.OperatorChecker: tool for evaluating operatorscheck_hermitian(operator)Description:this function takes a 2 by 2 operator matrix and checks to see if it is hermitian (equal to its transposed conjugate)this is useful because all qbit operators corresponding to quantum logic gates must be hermitianParameters:operator <type 'list'>: matrix representing the quantum operatorReturns:hermitian <type 'bool'>: boolean value storing if the passed matrix is hermitianExample:>>> oc = qonic_misc.OperatorChecker
  >>> pauli_z = [[1, 0], [0, -1]] # pauli z gate
  >>> print(oc.check_hermitian(pauli_z)) # check to see if the pauli z gate is hermitian
  Truecheck_unitary(operator)Description:this function takes a 2 by 2 operator matrix and checks to see if it is unitary (produces the identity matrix when multiplied by its transposed conjugate)this is useful because all qbit operators corresponding to quantum logic gates must be unitaryParameters:operator <type 'list'>: matrix representing the quantum operatorReturns:unitary <type 'bool'>: boolean value storing if the passed matrix is unitaryExample:>>> oc = qonic_misc.OperatorChecker
  >>> pauli_z = [[1, 0], [0, -1]] # pauli z gate
  >>> print(oc.check_unitary(pauli_z) # check to see if the pauli z gate is unitary
  True