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)
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)
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)