コード例 #1
0
ファイル: circuitutils.py プロジェクト: Acebulf/sympy
def random_reduce(circuit, gate_ids, seed=None):
    """Shorten the length of a quantum circuit.

    random_reduce looks for circuit identities in circuit, randomly chooses
    one to remove, and returns a shorter yet equivalent circuit.  If no
    identities are found, the same circuit is returned.

    Parameters
    ==========

    circuit : Gate tuple of Mul
        A tuple of Gates representing a quantum circuit
    gate_ids : list, GateIdentity
        List of gate identities to find in circuit
    seed : int or list
        seed used for _randrange; to override the random selection, provide a
        list of integers: the elements of gate_ids will be tested in the order
        given by the list

    """
    from sympy.utilities.randtest import _randrange

    if not gate_ids:
        return circuit

    if isinstance(circuit, Mul):
        circuit = circuit.args

    ids = flatten_ids(gate_ids)

    # Create the random integer generator with the seed
    randrange = _randrange(seed)

    # Look for an identity in the circuit
    while ids:
        i = randrange(len(ids))
        id = ids.pop(i)
        if find_subcircuit(circuit, id) != -1:
            break
    else:
        # no identity was found
        return circuit

    # return circuit with the identity removed
    return replace_subcircuit(circuit, id)
コード例 #2
0
def random_reduce(circuit, gate_ids, seed=None):
    """Shorten the length of a quantum circuit.

    random_reduce looks for circuit identities in circuit, randomly chooses
    one to remove, and returns a shorter yet equivalent circuit.  If no
    identities are found, the same circuit is returned.

    Parameters
    ==========

    circuit : Gate tuple of Mul
        A tuple of Gates representing a quantum circuit
    gate_ids : list, GateIdentity
        List of gate identities to find in circuit
    seed : int or list
        seed used for _randrange; to override the random selection, provide a
        list of integers: the elements of gate_ids will be tested in the order
        given by the list

    """
    from sympy.utilities.randtest import _randrange

    if not gate_ids:
        return circuit

    if isinstance(circuit, Mul):
        circuit = circuit.args

    ids = flatten_ids(gate_ids)

    # Create the random integer generator with the seed
    randrange = _randrange(seed)

    # Look for an identity in the circuit
    while ids:
        i = randrange(len(ids))
        id = ids.pop(i)
        if find_subcircuit(circuit, id) != -1:
            break
    else:
        # no identity was found
        return circuit

    # return circuit with the identity removed
    return replace_subcircuit(circuit, id)
コード例 #3
0
ファイル: circuitutils.py プロジェクト: Acebulf/sympy
def random_insert(circuit, choices, seed=None):
    """Insert a circuit into another quantum circuit.

    random_insert randomly chooses a location in the circuit to insert
    a randomly selected circuit from amongst the given choices.

    Parameters
    ==========

    circuit : Gate tuple or Mul
        A tuple or Mul of Gates representing a quantum circuit
    choices : list
        Set of circuit choices
    seed : int or list
        seed used for _randrange; to override the random selections, give
        a list two integers, [i, j] where i is the circuit location where
        choice[j] will be inserted.

    Notes
    =====

    Indices for insertion should be [0, n] if n is the length of the
    circuit.
    """
    from sympy.utilities.randtest import _randrange

    if not choices:
        return circuit

    if isinstance(circuit, Mul):
        circuit = circuit.args

    # get the location in the circuit and the element to insert from choices
    randrange = _randrange(seed)
    loc = randrange(len(circuit) + 1)
    choice = choices[randrange(len(choices))]

    circuit = list(circuit)
    circuit[loc: loc] = choice
    return tuple(circuit)
コード例 #4
0
def random_insert(circuit, choices, seed=None):
    """Insert a circuit into another quantum circuit.

    random_insert randomly chooses a location in the circuit to insert
    a randomly selected circuit from amongst the given choices.

    Parameters
    ==========

    circuit : Gate tuple or Mul
        A tuple or Mul of Gates representing a quantum circuit
    choices : list
        Set of circuit choices
    seed : int or list
        seed used for _randrange; to override the random selections, give
        a list two integers, [i, j] where i is the circuit location where
        choice[j] will be inserted.

    Notes
    =====

    Indices for insertion should be [0, n] if n is the length of the
    circuit.
    """
    from sympy.utilities.randtest import _randrange

    if not choices:
        return circuit

    if isinstance(circuit, Mul):
        circuit = circuit.args

    # get the location in the circuit and the element to insert from choices
    randrange = _randrange(seed)
    loc = randrange(len(circuit) + 1)
    choice = choices[randrange(len(choices))]

    circuit = list(circuit)
    circuit[loc:loc] = choice
    return tuple(circuit)