(qubit, format='sympy')
Perform a oneshot ensemble measurement on all qubits.

    A oneshot measurement is equivalent to performing a measurement on a
    quantum system. This type of measurement does not return the probabilities
    like an ensemble measurement does, but rather returns *one* of the
    possible resulting states. The exact state that is returned is determined
    by picking a state randomly according to the ensemble probabilities.

    Parameters
    ----------
    qubits : Qubit
        The qubit to measure.  This can be any Qubit or a linear combination
        of them.
    format : str
        The format of the intermediate matrices to use. Possible values are
        ('sympy','numpy','scipy.sparse'). Currently only 'sympy' is
        implemented.

    Returns
    -------
    result : Qubit
        The qubit that the system collapsed to upon measurement.
Perform a oneshot ensemble measurement on all qubits.
Perform a oneshot ensemble measurement on all qubits .
def measure_all_oneshot(qubit, format='sympy'):
    """Perform a oneshot ensemble measurement on all qubits.

    A oneshot measurement is equivalent to performing a measurement on a
    quantum system. This type of measurement does not return the probabilities
    like an ensemble measurement does, but rather returns *one* of the
    possible resulting states. The exact state that is returned is determined
    by picking a state randomly according to the ensemble probabilities.

    Parameters
    ----------
    qubits : Qubit
        The qubit to measure.  This can be any Qubit or a linear combination
        of them.
    format : str
        The format of the intermediate matrices to use. Possible values are
        ('sympy','numpy','scipy.sparse'). Currently only 'sympy' is
        implemented.

    Returns
    -------
    result : Qubit
        The qubit that the system collapsed to upon measurement.
    """
    import random
    m = qubit_to_matrix(qubit)

    if format == 'sympy':
        m = m.normalized()
        random_number = random.random()
        total = 0
        result = 0
        for i in m:
            total += i*i.conjugate()
            if total > random_number:
                break
            result += 1
        return Qubit(IntQubit(result, int(math.log(max(m.shape), 2) + .1)))
    else:
        raise NotImplementedError(
            "This function can't handle non-sympy matrix formats yet"
        )
def measure_all_oneshot ( qubit , format = 'sympy' ) : import random m = qubit_to_matrix ( qubit ) if format == 'sympy' : m = m . normalized ( ) random_number = random . random ( ) total = 0 result = 0 for i in m : total += i * i . conjugate ( ) if total > random_number : break result += 1 return Qubit ( IntQubit ( result , int ( math . log ( max ( m . shape ) , 2 ) + .1 ) ) ) else : raise NotImplementedError ( "This function can't handle non-sympy matrix formats yet" )