/
prepare_circuit.py
245 lines (196 loc) · 8.35 KB
/
prepare_circuit.py
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'''
Decompose a list of strings into another list of strings.
This is very similar to how SurfBraid http://alexandrupaler.github.io/quantjs works
For a first round of resource estimations from Cirq, the Clifford + T gates are
decomposed in replace_gates_with_multibody
'''
from skc.operator import *
from skc.dawson.factor import *
from skc.dawson import *
from skc.compose import *
from skc.basis import *
import math
class PrepareCircuit:
def __init__(self):
self.H2 = None
print("Prepare Circuit")
def initialise_skc(self):
'''
Configure the SK compiler
:return: nothing
'''
if self.H2 is None:
self.H2 = get_hermitian_basis(d=2)
# Prepare the compiler
sk_set_factor_method(dawson_group_factor)
sk_set_basis(self.H2)
# TODO: Paler - what is this for?
sk_set_axis(X_AXIS)
sk_build_tree("su2", 15)
return
def decompose_SK_on_gate(self, pi_fraction, which_axis=(0, 0, 1)):
'''
Assume Z rotation always, and decompose the rotations accordingly?
:param pi_fraction:
:param which_axis: Tuple indicating with bits which axis the rotation is around
:return:
'''
self.initialise_skc()
axis = cart3d_to_h2(
x = which_axis[0],
y = which_axis[1],
z = which_axis[2]
)
# the rotation angle
theta = math.pi * pi_fraction
# Compose a unitary to compile
matrix_U = axis_to_unitary(axis, theta, self.H2)
op_U = Operator(name="U", matrix=matrix_U)
n = 4
# print("U= " + str(matrix_U))
# print("n= " + str(n))
Un = solovay_kitaev(op_U, n)
# print("Approximated U: " + str(Un))
# print("Un= " + str(Un.matrix))
# print("trace_dist(U,Un)= " + str(trace_distance(Un.matrix, op_U.matrix)))
# print("fowler_dist(U,Un)= " + str(fowler_distance(Un.matrix, op_U.matrix)))
# see skc/operator.py for the ancestors member
return self.parse_skc_compiler_ancestors(Un.ancestors)
def parse_skc_compiler_ancestors(self, ancestors):
ret_list = []
for a in ancestors:
gate = str(a).replace("d", "")
ret_list.append(gate)
# print("ancestors" + str(ret_list))
return ret_list
def parse_to_my_string_format(self, cirq_circuit):
# the first 5 lines are header
str_s = [s for s in cirq_circuit.split("\n") if s.strip() != ''][4:]
# replace rx with rz
# replace ry with rz
tmp_str_s = []
for gate in str_s:
qubs = gate.split(" ")[1]
if gate.startswith("rx"):
tmp_str_s.append("h " + qubs)
tmp_str_s.append(gate.replace("rx", "rz"))
tmp_str_s.append("h " + qubs)
elif gate.startswith("ry"):
tmp_str_s.append("rz(pi*0.5) " + qubs)
tmp_str_s.append(gate.replace("ry", "rz"))
tmp_str_s.append("rz(pi*0.5) " + qubs)
else:
tmp_str_s.append(gate)
# overwrite str_s
str_s = tmp_str_s
# other replacements
# some minus angles are just like the normal rotation, because I do care about resource estimation
# and not computational correctness
str_s = [s.replace("h", "H") for s in str_s]
# half pi rotations
str_s = [s.replace("rz(pi*0.5)", "S") for s in str_s]
str_s = [s.replace("rz(pi*-0.5)", "S") for s in str_s]
str_s = [s.replace("rx(pi*0.5)", "V") for s in str_s]
str_s = [s.replace("rx(pi*-0.5)", "V") for s in str_s]
# quarter pi rotations
str_s = [s.replace("rz(pi*0.25)", "T") for s in str_s]
str_s = [s.replace("rz(pi*-0.25)", "T") for s in str_s]
# pi + fraction angles - works only for the RZ
str_s = [s.replace("rz(pi*1.5)", "T") for s in str_s]
str_s = [s.replace("rz(pi*-1.5)", "T") for s in str_s]
# pi angles are the pauli gates?
str_s = [s.replace("rx(pi*1.0)", "x") for s in str_s]
str_s = [s.replace("rx(pi*-1.0)", "x") for s in str_s]
str_s = [s.replace("ry(pi*1.0)", "y") for s in str_s]
str_s = [s.replace("ry(pi*-1.0)", "y") for s in str_s]
str_s = [s.replace("rz(pi*1.0)", "z") for s in str_s]
str_s = [s.replace("rz(pi*-1.0)", "z") for s in str_s]
str_s = [s.replace("cx", "CNOT") for s in str_s]
str_s = [s.replace("q[", "")
.replace("]", "")
.replace(",", " ")
.replace(";", "")
.strip() for s in str_s]
str_s = [s.replace("cz", "CPHASE") for s in str_s]
return str_s
def decompose_arbitrary_rotations(self, gate_list):
ret_list = []
dictionary_decomposed_rotations = {}
for gate in gate_list:
if gate[0] == "r":
which_axis = (0, 0, 0)
if gate[1] == "x":
which_axis = (1, 0, 0)
elif gate[1] == "y":
which_axis = (0, 1, 0)
elif gate[1] == "z":
which_axis = (0, 0, 1)
# split at "pi"
half_part = (gate.split("pi"))[1].replace("*", "").replace(")", "")
# take the angle and not the qubits the gate is applied to
angle_part_string = half_part.split(" ")[0]
angle_float = math.fabs(float(angle_part_string))
qubit_id = half_part.split(" ")[1]
# remove 2pi factors
while angle_float > 2:
angle_float -= 2
if angle_float == 0.5:
ret_list.append("S " + qubit_id)
continue
if angle_float not in dictionary_decomposed_rotations:
print(gate, "decompose")
# decomposition
decompo = self.decompose_SK_on_gate(angle_float, which_axis)
# store the decomposition
dictionary_decomposed_rotations[angle_float] = decompo
# into the returned list
for dec in dictionary_decomposed_rotations[angle_float]:
ret_list.append(dec + " " + qubit_id)
else:
ret_list.append(gate)
return ret_list
def replace_gates_with_multibody(self, gate_list):
ret_list = []
for gate in gate_list:
qub = gate.split(" ")[-1]
if gate.startswith("T"):
ret_list.append("NEED A")
ret_list.append("MZZ A " + qub)
ret_list.append("MX A")
elif gate.startswith("S"):
ret_list.append(gate)
elif gate.startswith("V"):
ret_list.append(gate)
elif gate.startswith("CPHASE"):
qub_control = gate.split(" ")[-2]
ret_list.append("H " + qub)
cnot_gate = "CNOT " + qub_control + " " + qub
the_cnot_list = self.replace_gates_with_multibody([cnot_gate])
ret_list.extend(the_cnot_list)
ret_list.append("H " + qub)
elif gate.startswith("CNOT"):
qub_control = gate.split(" ")[-2]
ret_list.append("ANCILLA 0")
ret_list.append("MXX " + qub + " ANCILLA")
ret_list.append("MZZ " + qub_control + " ANCILLA")
ret_list.append("MX ANCILLA")
elif gate.startswith("qreg"):
ret_list.append("INIT " + qub)
elif gate.startswith(("x", "y", "z")):
# do nothing, skip
# skip Pauli gates? - yes because in MXX/MZZ format these can be tracked, because the M?? are CNOTs in fact
continue
else:
# add the gate to the list -- we do not know what it is, or if it will be decomposed later
ret_list.append(gate)
return ret_list
def save_multibody_format(self, op_list):
with open("multibody.txt", "w") as f:
for gate in op_list:
f.write(gate)
def load_multibody_format(self):
ret = []
with open("output_instructions.txt", "r") as f:
for line in f:
ret.append(line.strip())
return ret