def random_state(dim, seed=None):
    """
    Return a random quantum state from the uniform (Haar) measure on
    state space.

    Args:
        dim (int): the dim of the state spaxe
        seed (int): Optional. To set a random seed.

    Returns:
        ndarray:  state(2**num) a random quantum state.
    """
    if seed is None:
        seed = np.random.randint(0, np.iinfo(np.int32).max)
    rng = np.random.RandomState(seed)
    # Random array over interval (0, 1]
    x = rng.rand(dim)
    x += x == 0
    x = -np.log(x)
    sumx = sum(x)
    phases = rng.rand(dim)*2.0*np.pi
    return np.sqrt(x/sumx)*np.exp(1j*phases)
def random_state(dim, seed=None):
    """
    Return a random quantum state from the uniform (Haar) measure on
    state space.

    Args:
        dim (int): the dim of the state spaxe
        seed (int): Optional. To set a random seed.

    Returns:
        ndarray:  state(2**num) a random quantum state.
    """
    if seed is None:
        seed = np.random.randint(0, np.iinfo(np.int32).max)
    rng = np.random.RandomState(seed)
    # Random array over interval (0, 1]
    x = rng.rand(dim)
    x += x == 0
    x = -np.log(x)
    sumx = sum(x)
    phases = rng.rand(dim)*2.0*np.pi
    return np.sqrt(x/sumx)*np.exp(1j*phases)
def random_state ( dim , seed = None ) : if seed is None : seed = np . random . randint ( 0 , np . iinfo ( np . int32 ) . max ) rng = np . random . RandomState ( seed ) # Random array over interval (0, 1] x = rng . rand ( dim ) x += x == 0 x = - np . log ( x ) sumx = sum ( x ) phases = rng . rand ( dim ) * 2.0 * np . pi return np . sqrt ( x / sumx ) * np . exp ( 1j * phases )
Return a random quantum state from the uniform (Haar) measure on
    state space.

    Args:
        dim (int): the dim of the state spaxe
        seed (int): Optional. To set a random seed.

    Returns:
        ndarray:  state(2**num) a random quantum state.
Return a random quantum state from the uniform ( Haar ) measure on state space .