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problem.py
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from config import QuantumConfig
from data import QuantumDataSet
from model import QuantumModel
from optimizer import GroverOptimizer, QuantumOptimizer
from qiskit import QuantumCircuit
class XORDataset(QuantumDataSet):
def __init__(self, features: list[list], label: list, qc: QuantumCircuit) -> None:
super().__init__(features, label, qc)
def encode(self) -> None:
for q in self.features[0]:
self.qc.h(q)
self.qc.barrier()
self.qc.x(self.label[0])
self.qc.ccx(self.features[0][0], self.features[0][1], self.label[0])
self.qc.x(self.features[0][0])
self.qc.x(self.features[0][1])
self.qc.ccx(self.features[0][0], self.features[0][1], self.label[0])
self.qc.x(self.features[0][0])
self.qc.x(self.features[0][1])
self.qc.barrier()
for q in self.features[1]:
self.qc.h(q)
self.qc.barrier()
self.qc.x(self.label[1])
self.qc.ccx(self.features[1][0], self.features[1][1], self.label[1])
self.qc.x(self.features[1][0])
self.qc.x(self.features[1][1])
self.qc.ccx(self.features[1][0], self.features[1][1], self.label[1])
self.qc.x(self.features[1][0])
self.qc.x(self.features[1][1])
self.qc.barrier()
def decode(self) -> None:
self.qc.x(self.features[1][1])
self.qc.x(self.features[1][0])
self.qc.ccx(self.features[1][0], self.features[1][1], self.label[1])
self.qc.x(self.features[1][1])
self.qc.x(self.features[1][0])
self.qc.ccx(self.features[1][0], self.features[1][1], self.label[1])
self.qc.x(self.label[1])
self.qc.barrier()
for q in self.features[1]:
self.qc.h(q)
self.qc.barrier()
self.qc.x(self.features[0][1])
self.qc.x(self.features[0][0])
self.qc.ccx(self.features[0][0], self.features[0][1], self.label[0])
self.qc.x(self.features[0][1])
self.qc.x(self.features[0][0])
self.qc.ccx(self.features[0][0], self.features[0][1], self.label[0])
self.qc.x(self.label[0])
self.qc.barrier()
for q in self.features[0]:
self.qc.h(q)
class ANDXORModel(QuantumModel):
def __init__(self, config: QuantumConfig) -> None:
super().__init__(config)
def compute(self) -> None:
self.qc.ccx(self.weights[0], self.features[0][0], self.outputs[0])
self.qc.ccx(self.weights[1], self.features[0][1], self.outputs[0])
self.qc.barrier()
self.qc.ccx(self.weights[0], self.features[1][0], self.outputs[1])
self.qc.ccx(self.weights[1], self.features[1][1], self.outputs[1])
self.qc.barrier()
def uncompute(self) -> None:
self.qc.ccx(self.weights[1], self.features[1][1], self.outputs[1])
self.qc.ccx(self.weights[0], self.features[1][0], self.outputs[1])
self.qc.barrier()
self.qc.ccx(self.weights[1], self.features[0][1], self.outputs[0])
self.qc.ccx(self.weights[0], self.features[0][0], self.outputs[0])
self.qc.barrier()
if __name__ == '__main__':
n = 10
m = 10
qc = QuantumCircuit(n, m)
weights = [0, 1]
features = [[2, 3], [6, 7]]
labels = [4, 8]
outputs = [5, 9]
config = QuantumConfig(weights=weights, features=features, labels=labels, output=outputs, qc=qc, classical_bits=list(range(m)))
dataset = XORDataset(features=features, label=labels,qc=qc)
model = ANDXORModel(config=config)
optimier = GroverOptimizer(config=config, data=dataset, model=model, iter=9)
optimier.optimize()
counts = optimier.execute(draw=False)
print(counts)